Overview

Dataset statistics

Number of variables109
Number of observations54813
Missing cells520702
Missing cells (%)8.7%
Total size in memory45.6 MiB
Average record size in memory872.0 B

Variable types

Numeric86
Categorical23

Alerts

pymnt_plan has constant value "n"Constant
policy_code has constant value "1"Constant
emp_title has a high cardinality: 23913 distinct valuesHigh cardinality
issue_d has a high cardinality: 72 distinct valuesHigh cardinality
title has a high cardinality: 1534 distinct valuesHigh cardinality
zip_code has a high cardinality: 864 distinct valuesHigh cardinality
earliest_cr_line has a high cardinality: 617 distinct valuesHigh cardinality
last_pymnt_d has a high cardinality: 72 distinct valuesHigh cardinality
last_credit_pull_d has a high cardinality: 69 distinct valuesHigh cardinality
title is highly imbalanced (75.3%)Imbalance
next_pymnt_d is highly imbalanced (99.4%)Imbalance
last_credit_pull_d is highly imbalanced (56.3%)Imbalance
application_type is highly imbalanced (69.0%)Imbalance
hardship_flag is highly imbalanced (> 99.9%)Imbalance
disbursement_method is highly imbalanced (76.7%)Imbalance
debt_settlement_flag is highly imbalanced (92.2%)Imbalance
emp_title has 4011 (7.3%) missing valuesMissing
emp_length has 3580 (6.5%) missing valuesMissing
title has 568 (1.0%) missing valuesMissing
mths_since_last_delinq has 28022 (51.1%) missing valuesMissing
mths_since_last_record has 45850 (83.6%) missing valuesMissing
next_pymnt_d has 29936 (54.6%) missing valuesMissing
mths_since_last_major_derog has 40387 (73.7%) missing valuesMissing
open_acc_6m has 19382 (35.4%) missing valuesMissing
open_act_il has 19382 (35.4%) missing valuesMissing
open_il_12m has 19382 (35.4%) missing valuesMissing
open_il_24m has 19382 (35.4%) missing valuesMissing
mths_since_rcnt_il has 20503 (37.4%) missing valuesMissing
total_bal_il has 19382 (35.4%) missing valuesMissing
il_util has 24569 (44.8%) missing valuesMissing
open_rv_12m has 19382 (35.4%) missing valuesMissing
open_rv_24m has 19382 (35.4%) missing valuesMissing
max_bal_bc has 19382 (35.4%) missing valuesMissing
all_util has 19387 (35.4%) missing valuesMissing
inq_fi has 19382 (35.4%) missing valuesMissing
total_cu_tl has 19382 (35.4%) missing valuesMissing
inq_last_12m has 19382 (35.4%) missing valuesMissing
bc_open_to_buy has 562 (1.0%) missing valuesMissing
bc_util has 586 (1.1%) missing valuesMissing
mo_sin_old_il_acct has 1712 (3.1%) missing valuesMissing
mths_since_recent_bc_dlq has 41845 (76.3%) missing valuesMissing
mths_since_recent_inq has 6160 (11.2%) missing valuesMissing
mths_since_recent_revol_delinq has 36579 (66.7%) missing valuesMissing
num_tl_120dpd_2m has 2007 (3.7%) missing valuesMissing
percent_bc_gt_75 has 571 (1.0%) missing valuesMissing
annual_inc is highly skewed (γ1 = 30.286367)Skewed
dti is highly skewed (γ1 = 31.03882459)Skewed
total_rec_late_fee is highly skewed (γ1 = 25.57643029)Skewed
tot_coll_amt is highly skewed (γ1 = 44.58603239)Skewed
delinq_amnt is highly skewed (γ1 = 73.06665215)Skewed
num_tl_120dpd_2m is highly skewed (γ1 = 47.51860535)Skewed
num_tl_30dpd is highly skewed (γ1 = 23.28436143)Skewed
tax_liens is highly skewed (γ1 = 35.84821821)Skewed
Unnamed: 0 has unique valuesUnique
delinq_2yrs has 44591 (81.4%) zerosZeros
inq_last_6mths has 34064 (62.1%) zerosZeros
pub_rec has 45850 (83.6%) zerosZeros
out_prncp has 30093 (54.9%) zerosZeros
out_prncp_inv has 30093 (54.9%) zerosZeros
total_rec_late_fee has 53262 (97.2%) zerosZeros
recoveries has 52189 (95.2%) zerosZeros
collection_recovery_fee has 52264 (95.3%) zerosZeros
collections_12_mths_ex_med has 53899 (98.3%) zerosZeros
acc_now_delinq has 54598 (99.6%) zerosZeros
tot_coll_amt has 46412 (84.7%) zerosZeros
open_acc_6m has 15909 (29.0%) zerosZeros
open_act_il has 4230 (7.7%) zerosZeros
open_il_12m has 19607 (35.8%) zerosZeros
open_il_24m has 9719 (17.7%) zerosZeros
total_bal_il has 4041 (7.4%) zerosZeros
open_rv_12m has 13007 (23.7%) zerosZeros
open_rv_24m has 5700 (10.4%) zerosZeros
max_bal_bc has 862 (1.6%) zerosZeros
inq_fi has 17655 (32.2%) zerosZeros
total_cu_tl has 19071 (34.8%) zerosZeros
inq_last_12m has 10254 (18.7%) zerosZeros
acc_open_past_24mths has 2414 (4.4%) zerosZeros
bc_open_to_buy has 691 (1.3%) zerosZeros
bc_util has 676 (1.2%) zerosZeros
chargeoff_within_12_mths has 54367 (99.2%) zerosZeros
delinq_amnt has 54647 (99.7%) zerosZeros
mo_sin_rcnt_rev_tl_op has 832 (1.5%) zerosZeros
mo_sin_rcnt_tl has 853 (1.6%) zerosZeros
mort_acc has 22934 (41.8%) zerosZeros
mths_since_recent_inq has 4045 (7.4%) zerosZeros
num_accts_ever_120_pd has 42385 (77.3%) zerosZeros
num_actv_bc_tl has 1179 (2.2%) zerosZeros
num_il_tl has 1713 (3.1%) zerosZeros
num_tl_120dpd_2m has 52779 (96.3%) zerosZeros
num_tl_30dpd has 54666 (99.7%) zerosZeros
num_tl_90g_dpd_24m has 51951 (94.8%) zerosZeros
num_tl_op_past_12m has 10466 (19.1%) zerosZeros
percent_bc_gt_75 has 15374 (28.0%) zerosZeros
pub_rec_bankruptcies has 47973 (87.5%) zerosZeros
tax_liens has 53183 (97.0%) zerosZeros
total_bc_limit has 571 (1.0%) zerosZeros
total_il_high_credit_limit has 6533 (11.9%) zerosZeros
loan_status_dv has 3952 (7.2%) zerosZeros

Reproduction

Analysis started2023-02-24 19:43:48.308371
Analysis finished2023-02-24 19:43:50.424324
Duration2.12 seconds
Software versionpandas-profiling v0.0.dev0
Download configurationconfig.json

Variables

Unnamed: 0
Real number (ℝ)

Distinct54813
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean915370.9425
Minimum87
Maximum1827124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:50.641159image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum87
5-th percentile92970
Q1455431
median916773
Q31374194
95-th percentile1734609.4
Maximum1827124
Range1827037
Interquartile range (IQR)918763

Descriptive statistics

Standard deviation528030.0909
Coefficient of variation (CV)0.5768482113
Kurtosis-1.208074204
Mean915370.9425
Median Absolute Deviation (MAD)459352
Skewness-0.004567983862
Sum5.017422747 × 1010
Variance2.788157769 × 1011
MonotonicityNot monotonic
2023-02-24T14:43:50.852173image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442930 1
 
< 0.1%
1551202 1
 
< 0.1%
510879 1
 
< 0.1%
671260 1
 
< 0.1%
294657 1
 
< 0.1%
402865 1
 
< 0.1%
942417 1
 
< 0.1%
303400 1
 
< 0.1%
875377 1
 
< 0.1%
480367 1
 
< 0.1%
Other values (54803) 54803
> 99.9%
ValueCountFrequency (%)
87 1
< 0.1%
93 1
< 0.1%
119 1
< 0.1%
171 1
< 0.1%
243 1
< 0.1%
ValueCountFrequency (%)
1827124 1
< 0.1%
1827068 1
< 0.1%
1827000 1
< 0.1%
1826963 1
< 0.1%
1826921 1
< 0.1%

loan_amnt
Real number (ℝ)

Distinct1354
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15091.65344
Minimum1000
Maximum40000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:51.066218image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile3200
Q18000
median13000
Q320000
95-th percentile35000
Maximum40000
Range39000
Interquartile range (IQR)12000

Descriptive statistics

Standard deviation9240.613468
Coefficient of variation (CV)0.6122996068
Kurtosis-0.1454888496
Mean15091.65344
Median Absolute Deviation (MAD)6200
Skewness0.7723919902
Sum827218800
Variance85388937.26
MonotonicityNot monotonic
2023-02-24T14:43:51.188694image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 4529
 
8.3%
20000 3246
 
5.9%
15000 3068
 
5.6%
12000 2929
 
5.3%
35000 2182
 
4.0%
5000 2066
 
3.8%
8000 1818
 
3.3%
6000 1754
 
3.2%
25000 1668
 
3.0%
16000 1582
 
2.9%
Other values (1344) 29971
54.7%
ValueCountFrequency (%)
1000 229
0.4%
1025 1
 
< 0.1%
1050 1
 
< 0.1%
1075 1
 
< 0.1%
1100 8
 
< 0.1%
ValueCountFrequency (%)
40000 810
1.5%
39875 1
 
< 0.1%
39825 1
 
< 0.1%
39775 1
 
< 0.1%
39600 3
 
< 0.1%

funded_amnt
Real number (ℝ)

Distinct1354
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15091.65344
Minimum1000
Maximum40000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:51.325977image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile3200
Q18000
median13000
Q320000
95-th percentile35000
Maximum40000
Range39000
Interquartile range (IQR)12000

Descriptive statistics

Standard deviation9240.613468
Coefficient of variation (CV)0.6122996068
Kurtosis-0.1454888496
Mean15091.65344
Median Absolute Deviation (MAD)6200
Skewness0.7723919902
Sum827218800
Variance85388937.26
MonotonicityNot monotonic
2023-02-24T14:43:51.452876image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 4529
 
8.3%
20000 3246
 
5.9%
15000 3068
 
5.6%
12000 2929
 
5.3%
35000 2182
 
4.0%
5000 2066
 
3.8%
8000 1818
 
3.3%
6000 1754
 
3.2%
25000 1668
 
3.0%
16000 1582
 
2.9%
Other values (1344) 29971
54.7%
ValueCountFrequency (%)
1000 229
0.4%
1025 1
 
< 0.1%
1050 1
 
< 0.1%
1075 1
 
< 0.1%
1100 8
 
< 0.1%
ValueCountFrequency (%)
40000 810
1.5%
39875 1
 
< 0.1%
39825 1
 
< 0.1%
39775 1
 
< 0.1%
39600 3
 
< 0.1%

funded_amnt_inv
Real number (ℝ)

Distinct1392
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15086.71848
Minimum775
Maximum40000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:51.795680image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum775
5-th percentile3200
Q18000
median13000
Q320000
95-th percentile35000
Maximum40000
Range39225
Interquartile range (IQR)12000

Descriptive statistics

Standard deviation9238.686102
Coefficient of variation (CV)0.6123721414
Kurtosis-0.1453878761
Mean15086.71848
Median Absolute Deviation (MAD)6200
Skewness0.7724772707
Sum826948300
Variance85353320.89
MonotonicityNot monotonic
2023-02-24T14:43:51.954110image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 4335
 
7.9%
20000 3027
 
5.5%
15000 2884
 
5.3%
12000 2792
 
5.1%
5000 2017
 
3.7%
35000 1946
 
3.6%
8000 1748
 
3.2%
6000 1712
 
3.1%
25000 1560
 
2.8%
16000 1484
 
2.7%
Other values (1382) 31308
57.1%
ValueCountFrequency (%)
775 1
 
< 0.1%
925 1
 
< 0.1%
975 2
 
< 0.1%
1000 225
0.4%
1025 1
 
< 0.1%
ValueCountFrequency (%)
40000 774
1.4%
39975 7
 
< 0.1%
39950 5
 
< 0.1%
39925 3
 
< 0.1%
39875 1
 
< 0.1%

term
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
36 months
39266 
60 months
15547 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 60 months
2nd row 36 months
3rd row 60 months
4th row 36 months
5th row 36 months

Common Values

ValueCountFrequency (%)
36 months 39266
71.6%
60 months 15547
 
28.4%

Common Values (Plot)

2023-02-24T14:43:52.161475image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

int_rate
Real number (ℝ)

Distinct351
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.93602193
Minimum5.31
Maximum30.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:52.262231image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum5.31
5-th percentile6.24
Q19.44
median12.49
Q315.61
95-th percentile21.97
Maximum30.99
Range25.68
Interquartile range (IQR)6.17

Descriptive statistics

Standard deviation4.813900109
Coefficient of variation (CV)0.3721314122
Kurtosis0.6795399715
Mean12.93602193
Median Absolute Deviation (MAD)3.1
Skewness0.8021942706
Sum709062.17
Variance23.17363426
MonotonicityNot monotonic
2023-02-24T14:43:52.394506image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.99 1365
 
2.5%
5.32 1218
 
2.2%
10.99 1065
 
1.9%
13.99 1019
 
1.9%
11.49 791
 
1.4%
16.99 741
 
1.4%
12.99 730
 
1.3%
7.89 718
 
1.3%
9.17 710
 
1.3%
14.99 640
 
1.2%
Other values (341) 45816
83.6%
ValueCountFrequency (%)
5.31 244
 
0.4%
5.32 1218
2.2%
5.93 47
 
0.1%
6 14
 
< 0.1%
6.03 236
 
0.4%
ValueCountFrequency (%)
30.99 19
< 0.1%
30.94 19
< 0.1%
30.89 16
< 0.1%
30.84 21
< 0.1%
30.79 35
0.1%

installment
Real number (ℝ)

Distinct19266
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean446.7009518
Minimum30.12
Maximum1719.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:52.531180image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum30.12
5-th percentile110.466
Q1251.36
median377.04
Q3595.87
95-th percentile989.14
Maximum1719.83
Range1689.71
Interquartile range (IQR)344.51

Descriptive statistics

Standard deviation268.8067234
Coefficient of variation (CV)0.6017599074
Kurtosis0.6638265843
Mean446.7009518
Median Absolute Deviation (MAD)157.46
Skewness1.001391765
Sum24485019.27
Variance72257.05454
MonotonicityNot monotonic
2023-02-24T14:43:52.655246image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
602.3 104
 
0.2%
301.15 100
 
0.2%
332.1 99
 
0.2%
361.38 93
 
0.2%
327.34 86
 
0.2%
451.73 70
 
0.1%
498.15 69
 
0.1%
318.79 67
 
0.1%
180.69 66
 
0.1%
240.92 65
 
0.1%
Other values (19256) 53994
98.5%
ValueCountFrequency (%)
30.12 1
 
< 0.1%
30.46 1
 
< 0.1%
30.65 2
< 0.1%
30.75 1
 
< 0.1%
30.88 3
< 0.1%
ValueCountFrequency (%)
1719.83 1
< 0.1%
1715.42 1
< 0.1%
1647.03 1
< 0.1%
1519.13 1
< 0.1%
1507.87 1
< 0.1%

grade
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
B
16377 
C
15757 
A
10915 
D
7519 
E
3119 
Other values (2)
 
1126

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowD
2nd rowC
3rd rowF
4th rowC
5th rowC

Common Values

ValueCountFrequency (%)
B 16377
29.9%
C 15757
28.7%
A 10915
19.9%
D 7519
13.7%
E 3119
 
5.7%
F 863
 
1.6%
G 263
 
0.5%

Common Values (Plot)

2023-02-24T14:43:52.790025image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

sub_grade
Categorical

Distinct35
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
C1
 
3561
B5
 
3485
B4
 
3431
B3
 
3179
C3
 
3170
Other values (30)
37987 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowD3
2nd rowC5
3rd rowF4
4th rowC4
5th rowC2

Common Values

ValueCountFrequency (%)
C1 3561
 
6.5%
B5 3485
 
6.4%
B4 3431
 
6.3%
B3 3179
 
5.8%
C3 3170
 
5.8%
B2 3150
 
5.7%
C2 3134
 
5.7%
B1 3132
 
5.7%
C4 3096
 
5.6%
C5 2796
 
5.1%
Other values (25) 22679
41.4%

emp_title
Categorical

HIGH CARDINALITY  MISSING 

Distinct23913
Distinct (%)47.1%
Missing4011
Missing (%)7.3%
Memory size428.4 KiB
Teacher
 
990
Manager
 
862
Owner
 
529
RN
 
380
Registered Nurse
 
374
Other values (23908)
47667 

Unique

Unique19870 ?
Unique (%)39.1%

Sample

1st rowBookkeeping & Payroll Manager
2nd rowRestaurant manager
3rd rowOfficer
4th rowPainter
5th rowoffice admin

Common Values

ValueCountFrequency (%)
Teacher 990
 
1.8%
Manager 862
 
1.6%
Owner 529
 
1.0%
RN 380
 
0.7%
Registered Nurse 374
 
0.7%
Supervisor 358
 
0.7%
Driver 330
 
0.6%
Sales 311
 
0.6%
Project Manager 296
 
0.5%
Office Manager 242
 
0.4%
Other values (23903) 46130
84.2%
(Missing) 4011
 
7.3%

emp_length
Categorical

Distinct11
Distinct (%)< 0.1%
Missing3580
Missing (%)6.5%
Memory size428.4 KiB
10+ years
18440 
2 years
4902 
< 1 year
4607 
3 years
4485 
1 year
3582 
Other values (6)
15217 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7 years
2nd row8 years
3rd row10+ years
4th row5 years
5th row10+ years

Common Values

ValueCountFrequency (%)
10+ years 18440
33.6%
2 years 4902
 
8.9%
< 1 year 4607
 
8.4%
3 years 4485
 
8.2%
1 year 3582
 
6.5%
5 years 3344
 
6.1%
4 years 3205
 
5.8%
6 years 2428
 
4.4%
7 years 2203
 
4.0%
8 years 2157
 
3.9%
(Missing) 3580
 
6.5%

home_ownership
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
MORTGAGE
27303 
RENT
21289 
OWN
6195 
ANY
 
26

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOWN
2nd rowMORTGAGE
3rd rowOWN
4th rowOWN
5th rowMORTGAGE

Common Values

ValueCountFrequency (%)
MORTGAGE 27303
49.8%
RENT 21289
38.8%
OWN 6195
 
11.3%
ANY 26
 
< 0.1%

Common Values (Plot)

2023-02-24T14:43:52.903812image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

annual_inc
Real number (ℝ)

Distinct5501
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78719.39664
Minimum0
Maximum6240000
Zeros46
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:53.044644image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28000
Q146800
median65000
Q394978
95-th percentile165000
Maximum6240000
Range6240000
Interquartile range (IQR)48178

Descriptive statistics

Standard deviation72398.04612
Coefficient of variation (CV)0.9196976756
Kurtosis2035.261992
Mean78719.39664
Median Absolute Deviation (MAD)22000
Skewness30.286367
Sum4314846288
Variance5241477082
MonotonicityNot monotonic
2023-02-24T14:43:53.192100image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60000 2081
 
3.8%
50000 1891
 
3.4%
65000 1573
 
2.9%
70000 1550
 
2.8%
40000 1450
 
2.6%
80000 1434
 
2.6%
75000 1419
 
2.6%
45000 1397
 
2.5%
55000 1289
 
2.4%
100000 1163
 
2.1%
Other values (5491) 39566
72.2%
ValueCountFrequency (%)
0 46
0.1%
1 1
 
< 0.1%
3 1
 
< 0.1%
15 1
 
< 0.1%
39 1
 
< 0.1%
ValueCountFrequency (%)
6240000 1
< 0.1%
5700000 1
< 0.1%
4000040 1
< 0.1%
3740668 1
< 0.1%
3200000 1
< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
Source Verified
21953 
Not Verified
18182 
Verified
14678 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Verified
2nd rowSource Verified
3rd rowSource Verified
4th rowVerified
5th rowVerified

Common Values

ValueCountFrequency (%)
Source Verified 21953
40.1%
Not Verified 18182
33.2%
Verified 14678
26.8%

Common Values (Plot)

2023-02-24T14:43:53.365218image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

issue_d
Categorical

Distinct72
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
Mar-2016
 
1490
Oct-2018
 
1244
May-2018
 
1239
Aug-2018
 
1225
Oct-2015
 
1198
Other values (67)
48417 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowApr-2018
2nd rowJul-2017
3rd rowJul-2014
4th rowJun-2018
5th rowOct-2013

Common Values

ValueCountFrequency (%)
Mar-2016 1490
 
2.7%
Oct-2018 1244
 
2.3%
May-2018 1239
 
2.3%
Aug-2018 1225
 
2.2%
Oct-2015 1198
 
2.2%
Nov-2018 1163
 
2.1%
Jul-2018 1136
 
2.1%
Aug-2017 1121
 
2.0%
Dec-2015 1105
 
2.0%
Jul-2015 1090
 
2.0%
Other values (62) 42802
78.1%

loan_status
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
Fully Paid
25984 
Current
24877 
Charged Off
3952 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFully Paid
2nd rowFully Paid
3rd rowCharged Off
4th rowCurrent
5th rowFully Paid

Common Values

ValueCountFrequency (%)
Fully Paid 25984
47.4%
Current 24877
45.4%
Charged Off 3952
 
7.2%

Common Values (Plot)

2023-02-24T14:43:53.482405image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

pymnt_plan
Categorical

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
n
54813 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rown
2nd rown
3rd rown
4th rown
5th rown

Common Values

ValueCountFrequency (%)
n 54813
100.0%

Common Values (Plot)

2023-02-24T14:43:53.571917image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

purpose
Categorical

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
debt_consolidation
30873 
credit_card
12774 
home_improvement
3784 
other
3351 
major_purchase
 
1199
Other values (8)
 
2832

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowcredit_card
2nd rowdebt_consolidation
3rd rowother
4th rowmedical
5th rowdebt_consolidation

Common Values

ValueCountFrequency (%)
debt_consolidation 30873
56.3%
credit_card 12774
23.3%
home_improvement 3784
 
6.9%
other 3351
 
6.1%
major_purchase 1199
 
2.2%
medical 638
 
1.2%
car 603
 
1.1%
small_business 537
 
1.0%
vacation 342
 
0.6%
house 336
 
0.6%
Other values (3) 376
 
0.7%

title
Categorical

HIGH CARDINALITY  IMBALANCE  MISSING 

Distinct1534
Distinct (%)2.8%
Missing568
Missing (%)1.0%
Memory size428.4 KiB
Debt consolidation
28887 
Credit card refinancing
11954 
Home improvement
3608 
Other
3219 
Major purchase
 
1131
Other values (1529)
5446 

Unique

Unique1307 ?
Unique (%)2.4%

Sample

1st rowCredit card refinancing
2nd rowDebt consolidation
3rd rowOther
4th rowMedical expenses
5th rowCash

Common Values

ValueCountFrequency (%)
Debt consolidation 28887
52.7%
Credit card refinancing 11954
21.8%
Home improvement 3608
 
6.6%
Other 3219
 
5.9%
Major purchase 1131
 
2.1%
Medical expenses 626
 
1.1%
Car financing 569
 
1.0%
Business 513
 
0.9%
Vacation 325
 
0.6%
Home buying 321
 
0.6%
Other values (1524) 3092
 
5.6%
(Missing) 568
 
1.0%

zip_code
Categorical

Distinct864
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
750xx
 
626
945xx
 
562
112xx
 
554
300xx
 
490
606xx
 
484
Other values (859)
52097 

Unique

Unique18 ?
Unique (%)< 0.1%

Sample

1st row731xx
2nd row334xx
3rd row331xx
4th row941xx
5th row085xx

Common Values

ValueCountFrequency (%)
750xx 626
 
1.1%
945xx 562
 
1.0%
112xx 554
 
1.0%
300xx 490
 
0.9%
606xx 484
 
0.9%
070xx 444
 
0.8%
331xx 433
 
0.8%
891xx 417
 
0.8%
104xx 411
 
0.7%
917xx 409
 
0.7%
Other values (854) 49983
91.2%

addr_state
Categorical

Distinct50
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
CA
7585 
TX
4520 
NY
4423 
FL
3871 
IL
 
2177
Other values (45)
32237 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOK
2nd rowFL
3rd rowFL
4th rowCA
5th rowNJ

Common Values

ValueCountFrequency (%)
CA 7585
 
13.8%
TX 4520
 
8.2%
NY 4423
 
8.1%
FL 3871
 
7.1%
IL 2177
 
4.0%
NJ 2013
 
3.7%
PA 1900
 
3.5%
OH 1861
 
3.4%
GA 1789
 
3.3%
VA 1509
 
2.8%
Other values (40) 23165
42.3%

dti
Real number (ℝ)

Distinct4543
Distinct (%)8.3%
Missing48
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean18.88683977
Minimum0
Maximum999
Zeros36
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:53.670011image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.94
Q111.93
median17.85
Q324.52
95-th percentile34.048
Maximum999
Range999
Interquartile range (IQR)12.59

Descriptive statistics

Standard deviation14.80144444
Coefficient of variation (CV)0.7836908992
Kurtosis1848.480383
Mean18.88683977
Median Absolute Deviation (MAD)6.25
Skewness31.03882459
Sum1034337.78
Variance219.0827576
MonotonicityNot monotonic
2023-02-24T14:43:53.847336image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.2 44
 
0.1%
21.6 44
 
0.1%
15.6 44
 
0.1%
16.22 44
 
0.1%
12 41
 
0.1%
16 40
 
0.1%
14.4 40
 
0.1%
17.28 37
 
0.1%
14.98 37
 
0.1%
17.68 37
 
0.1%
Other values (4533) 54357
99.2%
(Missing) 48
 
0.1%
ValueCountFrequency (%)
0 36
0.1%
0.03 1
 
< 0.1%
0.07 1
 
< 0.1%
0.11 2
 
< 0.1%
0.14 1
 
< 0.1%
ValueCountFrequency (%)
999 4
< 0.1%
942.17 1
 
< 0.1%
728.13 1
 
< 0.1%
507.81 1
 
< 0.1%
429 1
 
< 0.1%

delinq_2yrs
Real number (ℝ)

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3027019138
Minimum0
Maximum20
Zeros44591
Zeros (%)81.4%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:54.124698image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.849247361
Coefficient of variation (CV)2.80555663
Kurtosis60.25554448
Mean0.3027019138
Median Absolute Deviation (MAD)0
Skewness5.762821566
Sum16592
Variance0.7212210802
MonotonicityNot monotonic
2023-02-24T14:43:54.223350image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 44591
81.4%
1 6864
 
12.5%
2 1978
 
3.6%
3 728
 
1.3%
4 290
 
0.5%
5 139
 
0.3%
6 101
 
0.2%
7 47
 
0.1%
8 24
 
< 0.1%
9 13
 
< 0.1%
Other values (10) 38
 
0.1%
ValueCountFrequency (%)
0 44591
81.4%
1 6864
 
12.5%
2 1978
 
3.6%
3 728
 
1.3%
4 290
 
0.5%
ValueCountFrequency (%)
20 1
 
< 0.1%
19 1
 
< 0.1%
18 2
< 0.1%
16 3
< 0.1%
15 2
< 0.1%

earliest_cr_line
Categorical

Distinct617
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
Sep-2004
 
401
Sep-2005
 
388
Aug-2001
 
381
Sep-2003
 
367
Aug-2000
 
365
Other values (612)
52911 

Unique

Unique44 ?
Unique (%)0.1%

Sample

1st rowNov-2006
2nd rowSep-2001
3rd rowDec-1997
4th rowApr-1982
5th rowMar-2000

Common Values

ValueCountFrequency (%)
Sep-2004 401
 
0.7%
Sep-2005 388
 
0.7%
Aug-2001 381
 
0.7%
Sep-2003 367
 
0.7%
Aug-2000 365
 
0.7%
Sep-2002 362
 
0.7%
Aug-2003 362
 
0.7%
Aug-2004 350
 
0.6%
Aug-2006 349
 
0.6%
Oct-2004 344
 
0.6%
Other values (607) 51144
93.3%

inq_last_6mths
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5517669166
Minimum0
Maximum6
Zeros34064
Zeros (%)62.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:54.435614image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8533705444
Coefficient of variation (CV)1.546614193
Kurtosis3.953021639
Mean0.5517669166
Median Absolute Deviation (MAD)0
Skewness1.84106495
Sum30244
Variance0.7282412861
MonotonicityNot monotonic
2023-02-24T14:43:54.618489image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 34064
62.1%
1 14055
25.6%
2 4588
 
8.4%
3 1580
 
2.9%
4 377
 
0.7%
5 129
 
0.2%
6 20
 
< 0.1%
ValueCountFrequency (%)
0 34064
62.1%
1 14055
25.6%
2 4588
 
8.4%
3 1580
 
2.9%
4 377
 
0.7%
ValueCountFrequency (%)
6 20
 
< 0.1%
5 129
 
0.2%
4 377
 
0.7%
3 1580
 
2.9%
2 4588
8.4%

mths_since_last_delinq
Real number (ℝ)

Distinct117
Distinct (%)0.4%
Missing28022
Missing (%)51.1%
Infinite0
Infinite (%)0.0%
Mean34.57982158
Minimum0
Maximum188
Zeros47
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:54.760975image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q116
median31
Q350
95-th percentile74
Maximum188
Range188
Interquartile range (IQR)34

Descriptive statistics

Standard deviation21.87641239
Coefficient of variation (CV)0.6326352013
Kurtosis-0.6493849336
Mean34.57982158
Median Absolute Deviation (MAD)17
Skewness0.4636461381
Sum926428
Variance478.5774189
MonotonicityNot monotonic
2023-02-24T14:43:54.917848image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 508
 
0.9%
7 503
 
0.9%
6 497
 
0.9%
14 493
 
0.9%
11 492
 
0.9%
9 485
 
0.9%
10 483
 
0.9%
20 478
 
0.9%
8 478
 
0.9%
19 474
 
0.9%
Other values (107) 21900
40.0%
(Missing) 28022
51.1%
ValueCountFrequency (%)
0 47
 
0.1%
1 160
0.3%
2 224
0.4%
3 337
0.6%
4 395
0.7%
ValueCountFrequency (%)
188 1
< 0.1%
148 1
< 0.1%
135 1
< 0.1%
134 1
< 0.1%
125 1
< 0.1%

mths_since_last_record
Real number (ℝ)

Distinct120
Distinct (%)1.3%
Missing45850
Missing (%)83.6%
Infinite0
Infinite (%)0.0%
Mean72.15608613
Minimum1
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:55.052863image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25
Q155
median74
Q392
95-th percentile112
Maximum120
Range119
Interquartile range (IQR)37

Descriptive statistics

Standard deviation26.23179731
Coefficient of variation (CV)0.363542408
Kurtosis-0.4967978401
Mean72.15608613
Median Absolute Deviation (MAD)19
Skewness-0.3222508715
Sum646735
Variance688.1071899
MonotonicityNot monotonic
2023-02-24T14:43:55.183636image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 151
 
0.3%
75 148
 
0.3%
82 147
 
0.3%
68 143
 
0.3%
70 141
 
0.3%
79 140
 
0.3%
74 139
 
0.3%
69 136
 
0.2%
85 134
 
0.2%
64 130
 
0.2%
Other values (110) 7554
 
13.8%
(Missing) 45850
83.6%
ValueCountFrequency (%)
1 4
 
< 0.1%
2 1
 
< 0.1%
3 7
< 0.1%
4 17
< 0.1%
5 11
< 0.1%
ValueCountFrequency (%)
120 1
 
< 0.1%
119 27
 
< 0.1%
118 63
0.1%
117 71
0.1%
116 65
0.1%

open_acc
Real number (ℝ)

Distinct59
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.68443617
Minimum0
Maximum81
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:55.367139image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median11
Q314
95-th percentile22
Maximum81
Range81
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.70048459
Coefficient of variation (CV)0.48786989
Kurtosis3.72403814
Mean11.68443617
Median Absolute Deviation (MAD)3
Skewness1.351429374
Sum640459
Variance32.49552457
MonotonicityNot monotonic
2023-02-24T14:43:55.549521image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 4708
 
8.6%
8 4545
 
8.3%
10 4526
 
8.3%
11 4324
 
7.9%
7 4152
 
7.6%
12 3858
 
7.0%
6 3536
 
6.5%
13 3367
 
6.1%
14 2869
 
5.2%
5 2576
 
4.7%
Other values (49) 16352
29.8%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 34
 
0.1%
2 275
 
0.5%
3 740
1.4%
4 1609
2.9%
ValueCountFrequency (%)
81 1
< 0.1%
67 1
< 0.1%
62 2
< 0.1%
60 2
< 0.1%
58 1
< 0.1%

pub_rec
Real number (ℝ)

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2048054294
Minimum0
Maximum47
Zeros45850
Zeros (%)83.6%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:55.688822image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum47
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6041594593
Coefficient of variation (CV)2.949919156
Kurtosis758.4969529
Mean0.2048054294
Median Absolute Deviation (MAD)0
Skewness14.16233593
Sum11226
Variance0.3650086523
MonotonicityNot monotonic
2023-02-24T14:43:55.806355image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 45850
83.6%
1 7678
 
14.0%
2 808
 
1.5%
3 281
 
0.5%
4 96
 
0.2%
5 44
 
0.1%
6 19
 
< 0.1%
7 15
 
< 0.1%
8 8
 
< 0.1%
9 4
 
< 0.1%
Other values (6) 10
 
< 0.1%
ValueCountFrequency (%)
0 45850
83.6%
1 7678
 
14.0%
2 808
 
1.5%
3 281
 
0.5%
4 96
 
0.2%
ValueCountFrequency (%)
47 1
 
< 0.1%
26 1
 
< 0.1%
13 2
< 0.1%
12 3
< 0.1%
11 1
 
< 0.1%

revol_bal
Real number (ℝ)

Distinct28249
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16849.07073
Minimum0
Maximum605627
Zeros257
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:55.933491image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1628.2
Q15921
median11360
Q320473
95-th percentile45678.4
Maximum605627
Range605627
Interquartile range (IQR)14552

Descriptive statistics

Standard deviation22604.83656
Coefficient of variation (CV)1.341607316
Kurtosis104.1505562
Mean16849.07073
Median Absolute Deviation (MAD)6425
Skewness7.594864614
Sum923548114
Variance510978635.8
MonotonicityNot monotonic
2023-02-24T14:43:56.082553image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 257
 
0.5%
5738 10
 
< 0.1%
3198 10
 
< 0.1%
10779 10
 
< 0.1%
10007 10
 
< 0.1%
4952 9
 
< 0.1%
8008 9
 
< 0.1%
3350 9
 
< 0.1%
5980 9
 
< 0.1%
4218 9
 
< 0.1%
Other values (28239) 54471
99.4%
ValueCountFrequency (%)
0 257
0.5%
1 2
 
< 0.1%
2 4
 
< 0.1%
3 2
 
< 0.1%
4 5
 
< 0.1%
ValueCountFrequency (%)
605627 1
< 0.1%
550281 1
< 0.1%
549384 1
< 0.1%
530203 1
< 0.1%
510654 1
< 0.1%

revol_util
Real number (ℝ)

Distinct1064
Distinct (%)1.9%
Missing33
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean49.79900511
Minimum0
Maximum152.5
Zeros281
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:56.242475image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.4
Q131
median49.7
Q368.6
95-th percentile90.6
Maximum152.5
Range152.5
Interquartile range (IQR)37.6

Descriptive statistics

Standard deviation24.57773311
Coefficient of variation (CV)0.493538637
Kurtosis-0.8190950264
Mean49.79900511
Median Absolute Deviation (MAD)18.8
Skewness0.01848945097
Sum2727989.5
Variance604.0649646
MonotonicityNot monotonic
2023-02-24T14:43:56.416067image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 281
 
0.5%
52 126
 
0.2%
60 115
 
0.2%
65 112
 
0.2%
53 110
 
0.2%
44 109
 
0.2%
45 106
 
0.2%
56 105
 
0.2%
58 105
 
0.2%
42 105
 
0.2%
Other values (1054) 53506
97.6%
ValueCountFrequency (%)
0 281
0.5%
0.1 34
 
0.1%
0.2 32
 
0.1%
0.3 30
 
0.1%
0.4 30
 
0.1%
ValueCountFrequency (%)
152.5 1
< 0.1%
140.4 1
< 0.1%
133.1 1
< 0.1%
131.3 1
< 0.1%
128.7 1
< 0.1%

total_acc
Real number (ℝ)

Distinct103
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.19825589
Minimum2
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:56.555472image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q115
median22
Q331
95-th percentile46
Maximum135
Range133
Interquartile range (IQR)16

Descriptive statistics

Standard deviation12.04581986
Coefficient of variation (CV)0.4977970279
Kurtosis1.814233066
Mean24.19825589
Median Absolute Deviation (MAD)8
Skewness1.008432797
Sum1326379
Variance145.1017761
MonotonicityNot monotonic
2023-02-24T14:43:56.715102image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 2076
 
3.8%
18 1984
 
3.6%
17 1974
 
3.6%
16 1956
 
3.6%
20 1915
 
3.5%
21 1914
 
3.5%
23 1891
 
3.4%
22 1889
 
3.4%
14 1873
 
3.4%
24 1811
 
3.3%
Other values (93) 35530
64.8%
ValueCountFrequency (%)
2 42
 
0.1%
3 115
 
0.2%
4 241
0.4%
5 405
0.7%
6 596
1.1%
ValueCountFrequency (%)
135 1
< 0.1%
120 1
< 0.1%
110 1
< 0.1%
107 1
< 0.1%
105 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
w
38936 
f
15877 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st roww
2nd rowf
3rd rowf
4th roww
5th roww

Common Values

ValueCountFrequency (%)
w 38936
71.0%
f 15877
29.0%

Common Values (Plot)

2023-02-24T14:43:56.846427image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

out_prncp
Real number (ℝ)

Distinct20525
Distinct (%)37.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4741.829695
Minimum0
Maximum39161.59
Zeros30093
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:56.950239image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37523.68
95-th percentile22094.992
Maximum39161.59
Range39161.59
Interquartile range (IQR)7523.68

Descriptive statistics

Standard deviation7642.484935
Coefficient of variation (CV)1.611716452
Kurtosis3.274687873
Mean4741.829695
Median Absolute Deviation (MAD)0
Skewness1.897819061
Sum259913911.1
Variance58407575.97
MonotonicityNot monotonic
2023-02-24T14:43:57.340860image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30093
54.9%
9493.69 12
 
< 0.1%
7950.86 12
 
< 0.1%
8457.66 11
 
< 0.1%
35908.03 10
 
< 0.1%
8136 10
 
< 0.1%
3880.74 9
 
< 0.1%
9044.84 9
 
< 0.1%
8717.99 9
 
< 0.1%
8196.01 9
 
< 0.1%
Other values (20515) 24629
44.9%
ValueCountFrequency (%)
0 30093
54.9%
0.04 1
 
< 0.1%
0.1 1
 
< 0.1%
0.17 1
 
< 0.1%
0.34 1
 
< 0.1%
ValueCountFrequency (%)
39161.59 2
< 0.1%
39136.96 1
 
< 0.1%
39078.12 2
< 0.1%
39040.73 2
< 0.1%
39010.32 3
< 0.1%

out_prncp_inv
Real number (ℝ)

Distinct20739
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4740.702714
Minimum0
Maximum39161.59
Zeros30093
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:57.513814image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37523.18
95-th percentile22083.68
Maximum39161.59
Range39161.59
Interquartile range (IQR)7523.18

Descriptive statistics

Standard deviation7641.513392
Coefficient of variation (CV)1.611894661
Kurtosis3.27666531
Mean4740.702714
Median Absolute Deviation (MAD)0
Skewness1.898239928
Sum259852137.9
Variance58392726.93
MonotonicityNot monotonic
2023-02-24T14:43:57.678869image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30093
54.9%
7950.86 12
 
< 0.1%
9493.69 11
 
< 0.1%
8457.66 11
 
< 0.1%
8136 10
 
< 0.1%
35908.03 10
 
< 0.1%
8717.99 9
 
< 0.1%
3880.74 9
 
< 0.1%
8196.01 9
 
< 0.1%
9044.84 9
 
< 0.1%
Other values (20729) 24630
44.9%
ValueCountFrequency (%)
0 30093
54.9%
0.04 1
 
< 0.1%
0.1 1
 
< 0.1%
0.17 1
 
< 0.1%
0.34 1
 
< 0.1%
ValueCountFrequency (%)
39161.59 2
< 0.1%
39136.96 1
 
< 0.1%
39078.12 2
< 0.1%
39040.73 2
< 0.1%
39010.32 3
< 0.1%

total_pymnt
Real number (ℝ)

Distinct52289
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11951.80306
Minimum0
Maximum60841.20273
Zeros21
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:57.809056image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1132.774
Q14220.100275
median9210.81077
Q316988.94145
95-th percentile32966.208
Maximum60841.20273
Range60841.20273
Interquartile range (IQR)12768.84117

Descriptive statistics

Standard deviation10014.32003
Coefficient of variation (CV)0.8378919886
Kurtosis1.208026355
Mean11951.80306
Median Absolute Deviation (MAD)5838.452857
Skewness1.235883619
Sum655114180.9
Variance100286605.6
MonotonicityNot monotonic
2023-02-24T14:43:57.975826image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21
 
< 0.1%
2460.21 9
 
< 0.1%
2129.65 8
 
< 0.1%
4861.94 8
 
< 0.1%
1839.91 7
 
< 0.1%
1304.58 7
 
< 0.1%
1824.93 7
 
< 0.1%
910.77 6
 
< 0.1%
628.65 6
 
< 0.1%
1234.95 6
 
< 0.1%
Other values (52279) 54728
99.8%
ValueCountFrequency (%)
0 21
< 0.1%
30.09 1
 
< 0.1%
61.94 1
 
< 0.1%
62.4 1
 
< 0.1%
66.43 1
 
< 0.1%
ValueCountFrequency (%)
60841.20273 1
< 0.1%
59683.42178 1
< 0.1%
59683.42171 1
< 0.1%
58697.44209 1
< 0.1%
58425.68392 1
< 0.1%

total_pymnt_inv
Real number (ℝ)

Distinct51672
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11947.47293
Minimum0
Maximum60841.2
Zeros21
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:58.147088image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1130.026
Q14219.47
median9209.07
Q316982.15
95-th percentile32945.932
Maximum60841.2
Range60841.2
Interquartile range (IQR)12762.68

Descriptive statistics

Standard deviation10010.76883
Coefficient of variation (CV)0.8378984315
Kurtosis1.207862845
Mean11947.47293
Median Absolute Deviation (MAD)5836.63
Skewness1.235900889
Sum654876834
Variance100215492.6
MonotonicityNot monotonic
2023-02-24T14:43:58.294691image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21
 
< 0.1%
2460.21 9
 
< 0.1%
11784.23 8
 
< 0.1%
2129.65 8
 
< 0.1%
4861.94 8
 
< 0.1%
1839.91 7
 
< 0.1%
12128.02 7
 
< 0.1%
16579.95 7
 
< 0.1%
1824.93 7
 
< 0.1%
1304.58 7
 
< 0.1%
Other values (51662) 54724
99.8%
ValueCountFrequency (%)
0 21
< 0.1%
30.09 1
 
< 0.1%
60.39 1
 
< 0.1%
60.84 1
 
< 0.1%
66.43 1
 
< 0.1%
ValueCountFrequency (%)
60841.2 1
< 0.1%
59683.42 2
< 0.1%
58655.52 1
< 0.1%
58425.68 1
< 0.1%
58096.72 1
< 0.1%

total_rec_prncp
Real number (ℝ)

Distinct25370
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9521.674201
Minimum0
Maximum40000
Zeros44
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:58.446296image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile707.15
Q12892.02
median7000
Q314000
95-th percentile28000
Maximum40000
Range40000
Interquartile range (IQR)11107.98

Descriptive statistics

Standard deviation8453.995442
Coefficient of variation (CV)0.8878685895
Kurtosis1.029229582
Mean9521.674201
Median Absolute Deviation (MAD)4900
Skewness1.232571485
Sum521911528
Variance71470038.94
MonotonicityNot monotonic
2023-02-24T14:43:58.582263image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 1968
 
3.6%
15000 1402
 
2.6%
20000 1391
 
2.5%
12000 1375
 
2.5%
35000 990
 
1.8%
8000 987
 
1.8%
5000 951
 
1.7%
6000 905
 
1.7%
16000 695
 
1.3%
25000 683
 
1.2%
Other values (25360) 43466
79.3%
ValueCountFrequency (%)
0 44
0.1%
24.84 1
 
< 0.1%
29 1
 
< 0.1%
36.92 1
 
< 0.1%
38.04 1
 
< 0.1%
ValueCountFrequency (%)
40000 137
0.2%
39825 1
 
< 0.1%
39775 1
 
< 0.1%
39749.69 1
 
< 0.1%
39600 1
 
< 0.1%

total_rec_int
Real number (ℝ)

Distinct49244
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2338.166502
Minimum0
Maximum26477.8
Zeros48
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:58.720668image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile181.092
Q1674.94
median1459.25
Q32988.28
95-th percentile7585.634
Maximum26477.8
Range26477.8
Interquartile range (IQR)2313.34

Descriptive statistics

Standard deviation2612.472037
Coefficient of variation (CV)1.11731651
Kurtosis9.439915229
Mean2338.166502
Median Absolute Deviation (MAD)954.36
Skewness2.576624775
Sum128161920.5
Variance6825010.142
MonotonicityNot monotonic
2023-02-24T14:43:58.848071image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
0.1%
1784.23 10
 
< 0.1%
2862.28 9
 
< 0.1%
411.07 9
 
< 0.1%
769.97 8
 
< 0.1%
1900.48 8
 
< 0.1%
2933.1 7
 
< 0.1%
1431.12 7
 
< 0.1%
2128.02 7
 
< 0.1%
325.66 7
 
< 0.1%
Other values (49234) 54693
99.8%
ValueCountFrequency (%)
0 48
0.1%
0.01 1
 
< 0.1%
0.44 1
 
< 0.1%
0.45 1
 
< 0.1%
0.5 1
 
< 0.1%
ValueCountFrequency (%)
26477.8 1
< 0.1%
25841.2 1
< 0.1%
25405.14 1
< 0.1%
24772.66 1
< 0.1%
24683.42 2
< 0.1%

total_rec_late_fee
Real number (ℝ)

SKEWED  ZEROS 

Distinct985
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.089107575
Minimum0
Maximum724.8000013
Zeros53262
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:59.004008image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum724.8000013
Range724.8000013
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.746469901
Coefficient of variation (CV)8.949042434
Kurtosis1221.825557
Mean1.089107575
Median Absolute Deviation (MAD)0
Skewness25.57643029
Sum59697.25349
Variance94.99367553
MonotonicityNot monotonic
2023-02-24T14:43:59.133808image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53262
97.2%
15 326
 
0.6%
30 79
 
0.1%
45 27
 
< 0.1%
60 10
 
< 0.1%
16.37 4
 
< 0.1%
19.78 4
 
< 0.1%
44.03 4
 
< 0.1%
45.39 4
 
< 0.1%
90 3
 
< 0.1%
Other values (975) 1090
 
2.0%
ValueCountFrequency (%)
0 53262
97.2%
4 × 10-101
 
< 0.1%
5 × 10-101
 
< 0.1%
2.7 × 10-91
 
< 0.1%
3.5 × 10-91
 
< 0.1%
ValueCountFrequency (%)
724.8000013 1
< 0.1%
562.66 1
< 0.1%
530.53 1
< 0.1%
521.17 1
< 0.1%
349.2 1
< 0.1%

recoveries
Real number (ℝ)

Distinct2518
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.87324522
Minimum0
Maximum28420.45
Zeros52189
Zeros (%)95.2%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:59.326787image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum28420.45
Range28420.45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation625.4370213
Coefficient of variation (CV)6.88252103
Kurtosis313.3730044
Mean90.87324522
Median Absolute Deviation (MAD)0
Skewness13.89404017
Sum4981035.19
Variance391171.4676
MonotonicityNot monotonic
2023-02-24T14:43:59.503015image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52189
95.2%
150 17
 
< 0.1%
100 13
 
< 0.1%
200 8
 
< 0.1%
50 7
 
< 0.1%
75 6
 
< 0.1%
300 5
 
< 0.1%
1500 4
 
< 0.1%
250 4
 
< 0.1%
400 4
 
< 0.1%
Other values (2508) 2556
 
4.7%
ValueCountFrequency (%)
0 52189
95.2%
0.06 2
 
< 0.1%
0.09 1
 
< 0.1%
0.12 3
 
< 0.1%
0.14 1
 
< 0.1%
ValueCountFrequency (%)
28420.45 1
< 0.1%
22825.59 1
< 0.1%
21011.96 1
< 0.1%
20814.35 1
< 0.1%
17864.09 1
< 0.1%

collection_recovery_fee
Real number (ℝ)

Distinct2485
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.43474205
Minimum0
Maximum5115.6792
Zeros52264
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:59.637315image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5115.6792
Range5115.6792
Interquartile range (IQR)0

Descriptive statistics

Standard deviation110.3087987
Coefficient of variation (CV)7.146786018
Kurtosis334.9877661
Mean15.43474205
Median Absolute Deviation (MAD)0
Skewness14.48280241
Sum846024.5161
Variance12168.03107
MonotonicityNot monotonic
2023-02-24T14:43:59.789089image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52264
95.3%
18 11
 
< 0.1%
27 10
 
< 0.1%
36 7
 
< 0.1%
9 6
 
< 0.1%
54 5
 
< 0.1%
13.5 4
 
< 0.1%
4.5 3
 
< 0.1%
108 3
 
< 0.1%
324 3
 
< 0.1%
Other values (2475) 2497
 
4.6%
ValueCountFrequency (%)
0 52264
95.3%
1.812600002 1
 
< 0.1%
1.835999998 1
 
< 0.1%
2.1168 1
 
< 0.1%
2.177999992 1
 
< 0.1%
ValueCountFrequency (%)
5115.6792 1
< 0.1%
4108.6062 1
< 0.1%
3782.1528 1
< 0.1%
3538.4395 1
< 0.1%
3215.5362 1
< 0.1%

last_pymnt_d
Categorical

Distinct72
Distinct (%)0.1%
Missing43
Missing (%)0.1%
Memory size428.4 KiB
Feb-2019
25053 
Jan-2019
 
1154
Aug-2018
 
946
Mar-2018
 
942
Jul-2018
 
915
Other values (67)
25760 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowJul-2018
2nd rowAug-2018
3rd rowJan-2015
4th rowFeb-2019
5th rowOct-2016

Common Values

ValueCountFrequency (%)
Feb-2019 25053
45.7%
Jan-2019 1154
 
2.1%
Aug-2018 946
 
1.7%
Mar-2018 942
 
1.7%
Jul-2018 915
 
1.7%
Oct-2018 866
 
1.6%
Jan-2018 849
 
1.5%
Jun-2018 836
 
1.5%
Nov-2018 825
 
1.5%
May-2018 803
 
1.5%
Other values (62) 21581
39.4%

last_pymnt_amnt
Real number (ℝ)

Distinct36045
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3559.148785
Minimum0
Maximum40736.63
Zeros54
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:43:59.954971image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile104.048
Q1312.63
median615.99
Q34089.45
95-th percentile17235.418
Maximum40736.63
Range40736.63
Interquartile range (IQR)3776.82

Descriptive statistics

Standard deviation6159.811196
Coefficient of variation (CV)1.730697863
Kurtosis6.816651601
Mean3559.148785
Median Absolute Deviation (MAD)414.57
Skewness2.520404882
Sum195087622.4
Variance37943273.97
MonotonicityNot monotonic
2023-02-24T14:44:00.109069image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54
 
0.1%
324.65 49
 
0.1%
361.38 49
 
0.1%
304.72 47
 
0.1%
332.1 47
 
0.1%
309.74 45
 
0.1%
301.15 45
 
0.1%
50 40
 
0.1%
335.12 39
 
0.1%
602.3 37
 
0.1%
Other values (36035) 54361
99.2%
ValueCountFrequency (%)
0 54
0.1%
0.01 20
 
< 0.1%
0.02 2
 
< 0.1%
0.03 1
 
< 0.1%
0.05 2
 
< 0.1%
ValueCountFrequency (%)
40736.63 1
< 0.1%
40716.55 1
< 0.1%
40614.73 1
< 0.1%
40611.8 1
< 0.1%
40581.97 1
< 0.1%

next_pymnt_d
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing29936
Missing (%)54.6%
Memory size428.4 KiB
Mar-2019
24864 
Feb-2019
 
13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMar-2019
2nd rowMar-2019
3rd rowMar-2019
4th rowMar-2019
5th rowMar-2019

Common Values

ValueCountFrequency (%)
Mar-2019 24864
45.4%
Feb-2019 13
 
< 0.1%
(Missing) 29936
54.6%

Common Values (Plot)

2023-02-24T14:44:00.237213image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

last_credit_pull_d
Categorical

HIGH CARDINALITY  IMBALANCE 

Distinct69
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
Feb-2019
35610 
Jan-2019
 
2031
Dec-2018
 
1315
Jul-2018
 
1272
Nov-2018
 
1221
Other values (64)
13364 

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowOct-2018
2nd rowSep-2018
3rd rowOct-2016
4th rowFeb-2019
5th rowOct-2016

Common Values

ValueCountFrequency (%)
Feb-2019 35610
65.0%
Jan-2019 2031
 
3.7%
Dec-2018 1315
 
2.4%
Jul-2018 1272
 
2.3%
Nov-2018 1221
 
2.2%
Oct-2018 1211
 
2.2%
Aug-2018 993
 
1.8%
Sep-2018 896
 
1.6%
Oct-2016 807
 
1.5%
Apr-2018 649
 
1.2%
Other values (59) 8808
 
16.1%
Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01806140879
Minimum0
Maximum4
Zeros53899
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:00.326827image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1446029225
Coefficient of variation (CV)8.006181811
Kurtosis103.4911717
Mean0.01806140879
Median Absolute Deviation (MAD)0
Skewness9.181264163
Sum990
Variance0.02091000521
MonotonicityNot monotonic
2023-02-24T14:44:00.412164image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 53899
98.3%
1 848
 
1.5%
2 57
 
0.1%
3 8
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 53899
98.3%
1 848
 
1.5%
2 57
 
0.1%
3 8
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
3 8
 
< 0.1%
2 57
 
0.1%
1 848
 
1.5%
0 53899
98.3%
Distinct128
Distinct (%)0.9%
Missing40387
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean44.18265631
Minimum0
Maximum188
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:00.731283image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q127
median44
Q362
95-th percentile77
Maximum188
Range188
Interquartile range (IQR)35

Descriptive statistics

Standard deviation21.46150752
Coefficient of variation (CV)0.4857450708
Kurtosis-0.4734635936
Mean44.18265631
Median Absolute Deviation (MAD)17
Skewness0.09967703984
Sum637379
Variance460.5963051
MonotonicityNot monotonic
2023-02-24T14:44:00.867500image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 255
 
0.5%
43 253
 
0.5%
42 245
 
0.4%
47 238
 
0.4%
52 231
 
0.4%
48 230
 
0.4%
35 227
 
0.4%
30 227
 
0.4%
39 227
 
0.4%
32 226
 
0.4%
Other values (118) 12067
 
22.0%
(Missing) 40387
73.7%
ValueCountFrequency (%)
0 6
 
< 0.1%
1 30
 
0.1%
2 48
0.1%
3 55
0.1%
4 80
0.1%
ValueCountFrequency (%)
188 1
< 0.1%
148 1
< 0.1%
146 2
< 0.1%
135 1
< 0.1%
134 2
< 0.1%

policy_code
Real number (ℝ)

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:00.970899image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum54813
Variance0
MonotonicityIncreasing
2023-02-24T14:44:01.069578image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 54813
100.0%
ValueCountFrequency (%)
1 54813
100.0%
ValueCountFrequency (%)
1 54813
100.0%

application_type
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
Individual
51755 
Joint App
 
3058

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIndividual
2nd rowJoint App
3rd rowIndividual
4th rowIndividual
5th rowIndividual

Common Values

ValueCountFrequency (%)
Individual 51755
94.4%
Joint App 3058
 
5.6%

Common Values (Plot)

2023-02-24T14:44:01.180414image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

acc_now_delinq
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004214328718
Minimum0
Maximum4
Zeros54598
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:01.253608image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07018840302
Coefficient of variation (CV)16.65470534
Kurtosis529.7399362
Mean0.004214328718
Median Absolute Deviation (MAD)0
Skewness19.92302805
Sum231
Variance0.004926411918
MonotonicityNot monotonic
2023-02-24T14:44:01.338802image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 54598
99.6%
1 202
 
0.4%
2 11
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 54598
99.6%
1 202
 
0.4%
2 11
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
3 1
 
< 0.1%
2 11
 
< 0.1%
1 202
 
0.4%
0 54598
99.6%

tot_coll_amt
Real number (ℝ)

SKEWED  ZEROS 

Distinct2722
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean221.2470217
Minimum0
Maximum215902
Zeros46412
Zeros (%)84.7%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:01.484927image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile806.4
Maximum215902
Range215902
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1787.042656
Coefficient of variation (CV)8.077137682
Kurtosis4198.324707
Mean221.2470217
Median Absolute Deviation (MAD)0
Skewness44.58603239
Sum12127213
Variance3193521.454
MonotonicityNot monotonic
2023-02-24T14:44:01.599897image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46412
84.7%
50 126
 
0.2%
100 83
 
0.2%
200 54
 
0.1%
75 54
 
0.1%
60 51
 
0.1%
150 45
 
0.1%
65 36
 
0.1%
80 36
 
0.1%
55 35
 
0.1%
Other values (2712) 7881
 
14.4%
ValueCountFrequency (%)
0 46412
84.7%
13 1
 
< 0.1%
19 1
 
< 0.1%
20 1
 
< 0.1%
22 1
 
< 0.1%
ValueCountFrequency (%)
215902 1
< 0.1%
87092 1
< 0.1%
65103 1
< 0.1%
59924 1
< 0.1%
57557 1
< 0.1%

tot_cur_bal
Real number (ℝ)

Distinct48959
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143859.5742
Minimum0
Maximum4151547
Zeros20
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:01.740104image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8104.6
Q128912
median80561
Q3214645
95-th percentile443641.2
Maximum4151547
Range4151547
Interquartile range (IQR)185733

Descriptive statistics

Standard deviation164157.3221
Coefficient of variation (CV)1.141094175
Kurtosis26.30444181
Mean143859.5742
Median Absolute Deviation (MAD)64127
Skewness3.061843583
Sum7885374838
Variance2.69476264 × 1010
MonotonicityNot monotonic
2023-02-24T14:44:01.869891image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20
 
< 0.1%
15710 6
 
< 0.1%
26502 5
 
< 0.1%
6644 5
 
< 0.1%
75515 5
 
< 0.1%
23863 5
 
< 0.1%
27492 4
 
< 0.1%
27667 4
 
< 0.1%
39936 4
 
< 0.1%
30320 4
 
< 0.1%
Other values (48949) 54751
99.9%
ValueCountFrequency (%)
0 20
< 0.1%
1 1
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
4151547 1
< 0.1%
3916686 1
< 0.1%
2655974 1
< 0.1%
2641479 1
< 0.1%
2484676 1
< 0.1%

open_acc_6m
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)< 0.1%
Missing19382
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean0.9287347238
Minimum0
Maximum11
Zeros15909
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:01.978045image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.131778106
Coefficient of variation (CV)1.218623658
Kurtosis4.562904977
Mean0.9287347238
Median Absolute Deviation (MAD)1
Skewness1.694770872
Sum32906
Variance1.280921682
MonotonicityNot monotonic
2023-02-24T14:44:02.077432image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 15909
29.0%
1 11207
20.4%
2 5101
 
9.3%
3 2053
 
3.7%
4 758
 
1.4%
5 239
 
0.4%
6 97
 
0.2%
7 33
 
0.1%
8 18
 
< 0.1%
9 9
 
< 0.1%
Other values (2) 7
 
< 0.1%
(Missing) 19382
35.4%
ValueCountFrequency (%)
0 15909
29.0%
1 11207
20.4%
2 5101
 
9.3%
3 2053
 
3.7%
4 758
 
1.4%
ValueCountFrequency (%)
11 3
 
< 0.1%
10 4
 
< 0.1%
9 9
 
< 0.1%
8 18
< 0.1%
7 33
0.1%

open_act_il
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)0.1%
Missing19382
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean2.775055742
Minimum0
Maximum38
Zeros4230
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:02.193597image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile9
Maximum38
Range38
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.027129166
Coefficient of variation (CV)1.090835445
Kurtosis13.52763301
Mean2.775055742
Median Absolute Deviation (MAD)1
Skewness2.992059769
Sum98323
Variance9.163510987
MonotonicityNot monotonic
2023-02-24T14:44:02.319911image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 9248
16.9%
2 8404
15.3%
3 5250
 
9.6%
0 4230
 
7.7%
4 2828
 
5.2%
5 1545
 
2.8%
6 959
 
1.7%
7 619
 
1.1%
8 520
 
0.9%
9 374
 
0.7%
Other values (26) 1454
 
2.7%
(Missing) 19382
35.4%
ValueCountFrequency (%)
0 4230
7.7%
1 9248
16.9%
2 8404
15.3%
3 5250
9.6%
4 2828
 
5.2%
ValueCountFrequency (%)
38 1
< 0.1%
37 1
< 0.1%
35 1
< 0.1%
33 1
< 0.1%
32 2
< 0.1%

open_il_12m
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing19382
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean0.6602974796
Minimum0
Maximum11
Zeros19607
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:02.444088image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9177790515
Coefficient of variation (CV)1.389947834
Kurtosis4.887631986
Mean0.6602974796
Median Absolute Deviation (MAD)0
Skewness1.812268781
Sum23395
Variance0.8423183874
MonotonicityNot monotonic
2023-02-24T14:44:02.527942image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 19607
35.8%
1 10554
19.3%
2 3700
 
6.8%
3 1074
 
2.0%
4 333
 
0.6%
5 111
 
0.2%
6 41
 
0.1%
7 7
 
< 0.1%
8 2
 
< 0.1%
11 1
 
< 0.1%
(Missing) 19382
35.4%
ValueCountFrequency (%)
0 19607
35.8%
1 10554
19.3%
2 3700
 
6.8%
3 1074
 
2.0%
4 333
 
0.6%
ValueCountFrequency (%)
11 1
 
< 0.1%
10 1
 
< 0.1%
8 2
 
< 0.1%
7 7
 
< 0.1%
6 41
0.1%

open_il_24m
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)0.1%
Missing19382
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean1.536620474
Minimum0
Maximum23
Zeros9719
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:02.619202image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum23
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.565164048
Coefficient of variation (CV)1.018575552
Kurtosis6.930190617
Mean1.536620474
Median Absolute Deviation (MAD)1
Skewness1.841328987
Sum54444
Variance2.449738497
MonotonicityNot monotonic
2023-02-24T14:44:02.719225image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 11278
20.6%
0 9719
17.7%
2 7241
 
13.2%
3 3715
 
6.8%
4 1728
 
3.2%
5 859
 
1.6%
6 442
 
0.8%
7 216
 
0.4%
8 111
 
0.2%
9 50
 
0.1%
Other values (10) 72
 
0.1%
(Missing) 19382
35.4%
ValueCountFrequency (%)
0 9719
17.7%
1 11278
20.6%
2 7241
13.2%
3 3715
 
6.8%
4 1728
 
3.2%
ValueCountFrequency (%)
23 1
< 0.1%
22 1
< 0.1%
18 1
< 0.1%
17 1
< 0.1%
15 1
< 0.1%

mths_since_rcnt_il
Real number (ℝ)

Distinct228
Distinct (%)0.7%
Missing20503
Missing (%)37.4%
Infinite0
Infinite (%)0.0%
Mean21.40824832
Minimum0
Maximum488
Zeros11
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:02.828131image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median13
Q324
95-th percentile72
Maximum488
Range488
Interquartile range (IQR)17

Descriptive statistics

Standard deviation26.16199624
Coefficient of variation (CV)1.222052166
Kurtosis18.70608616
Mean21.40824832
Median Absolute Deviation (MAD)8
Skewness3.492595361
Sum734517
Variance684.4500471
MonotonicityNot monotonic
2023-02-24T14:44:03.002647image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 1526
 
2.8%
4 1490
 
2.7%
3 1484
 
2.7%
6 1477
 
2.7%
5 1428
 
2.6%
8 1407
 
2.6%
13 1317
 
2.4%
9 1309
 
2.4%
11 1274
 
2.3%
12 1256
 
2.3%
Other values (218) 20342
37.1%
(Missing) 20503
37.4%
ValueCountFrequency (%)
0 11
 
< 0.1%
1 729
1.3%
2 1234
2.3%
3 1484
2.7%
4 1490
2.7%
ValueCountFrequency (%)
488 1
< 0.1%
395 1
< 0.1%
338 1
< 0.1%
322 1
< 0.1%
300 1
< 0.1%

total_bal_il
Real number (ℝ)

MISSING  ZEROS 

Distinct25855
Distinct (%)73.0%
Missing19382
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean35146.60187
Minimum0
Maximum995545
Zeros4041
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:03.153828image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18513.5
median22773
Q345446.5
95-th percentile113337
Maximum995545
Range995545
Interquartile range (IQR)36933

Descriptive statistics

Standard deviation43496.52381
Coefficient of variation (CV)1.237574089
Kurtosis24.1566952
Mean35146.60187
Median Absolute Deviation (MAD)16835
Skewness3.528087222
Sum1245279251
Variance1891947583
MonotonicityNot monotonic
2023-02-24T14:44:03.325060image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4041
 
7.4%
6196 5
 
< 0.1%
4674 5
 
< 0.1%
10832 5
 
< 0.1%
2915 5
 
< 0.1%
6620 5
 
< 0.1%
24084 5
 
< 0.1%
2824 5
 
< 0.1%
7515 5
 
< 0.1%
5905 5
 
< 0.1%
Other values (25845) 31345
57.2%
(Missing) 19382
35.4%
ValueCountFrequency (%)
0 4041
7.4%
1 2
 
< 0.1%
2 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
995545 1
< 0.1%
614961 1
< 0.1%
610350 1
< 0.1%
510816 1
< 0.1%
508867 1
< 0.1%

il_util
Real number (ℝ)

Distinct171
Distinct (%)0.6%
Missing24569
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean68.71842349
Minimum0
Maximum219
Zeros165
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:03.489988image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q154
median71
Q385
95-th percentile100
Maximum219
Range219
Interquartile range (IQR)31

Descriptive statistics

Standard deviation23.7231704
Coefficient of variation (CV)0.3452228557
Kurtosis0.4510374035
Mean68.71842349
Median Absolute Deviation (MAD)15
Skewness-0.3577332344
Sum2078320
Variance562.7888138
MonotonicityNot monotonic
2023-02-24T14:44:03.654829image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76 572
 
1.0%
79 562
 
1.0%
73 561
 
1.0%
81 556
 
1.0%
83 546
 
1.0%
70 546
 
1.0%
82 541
 
1.0%
71 541
 
1.0%
69 541
 
1.0%
77 540
 
1.0%
Other values (161) 24738
45.1%
(Missing) 24569
44.8%
ValueCountFrequency (%)
0 165
0.3%
1 17
 
< 0.1%
2 21
 
< 0.1%
3 46
 
0.1%
4 30
 
0.1%
ValueCountFrequency (%)
219 1
< 0.1%
187 1
< 0.1%
186 1
< 0.1%
185 2
< 0.1%
184 1
< 0.1%

open_rv_12m
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)0.1%
Missing19382
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean1.284863538
Minimum0
Maximum17
Zeros13007
Zeros (%)23.7%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:03.792262image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum17
Range17
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.493800079
Coefficient of variation (CV)1.162613799
Kurtosis6.821976613
Mean1.284863538
Median Absolute Deviation (MAD)1
Skewness1.967569639
Sum45524
Variance2.231438677
MonotonicityNot monotonic
2023-02-24T14:44:03.949314image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 13007
23.7%
1 10580
19.3%
2 6122
 
11.2%
3 2969
 
5.4%
4 1439
 
2.6%
5 643
 
1.2%
6 326
 
0.6%
7 155
 
0.3%
8 80
 
0.1%
9 55
 
0.1%
Other values (8) 55
 
0.1%
(Missing) 19382
35.4%
ValueCountFrequency (%)
0 13007
23.7%
1 10580
19.3%
2 6122
11.2%
3 2969
 
5.4%
4 1439
 
2.6%
ValueCountFrequency (%)
17 1
 
< 0.1%
16 2
 
< 0.1%
15 1
 
< 0.1%
14 5
< 0.1%
13 6
< 0.1%

open_rv_24m
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)0.1%
Missing19382
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean2.742485394
Minimum0
Maximum37
Zeros5700
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:04.107735image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile8
Maximum37
Range37
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.587527547
Coefficient of variation (CV)0.9434972936
Kurtosis6.872929531
Mean2.742485394
Median Absolute Deviation (MAD)1
Skewness1.903388163
Sum97169
Variance6.695298807
MonotonicityNot monotonic
2023-02-24T14:44:04.285316image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 7550
 
13.8%
2 6859
 
12.5%
0 5700
 
10.4%
3 5155
 
9.4%
4 3457
 
6.3%
5 2351
 
4.3%
6 1490
 
2.7%
7 1009
 
1.8%
8 605
 
1.1%
9 418
 
0.8%
Other values (18) 837
 
1.5%
(Missing) 19382
35.4%
ValueCountFrequency (%)
0 5700
10.4%
1 7550
13.8%
2 6859
12.5%
3 5155
9.4%
4 3457
6.3%
ValueCountFrequency (%)
37 1
< 0.1%
30 2
< 0.1%
28 1
< 0.1%
25 2
< 0.1%
23 1
< 0.1%

max_bal_bc
Real number (ℝ)

MISSING  ZEROS 

Distinct13379
Distinct (%)37.8%
Missing19382
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean5820.818577
Minimum0
Maximum180000
Zeros862
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:04.428527image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile346
Q12270
median4407
Q37668
95-th percentile16450.5
Maximum180000
Range180000
Interquartile range (IQR)5398

Descriptive statistics

Standard deviation5437.542941
Coefficient of variation (CV)0.9341543408
Kurtosis39.30335174
Mean5820.818577
Median Absolute Deviation (MAD)2481
Skewness3.166369983
Sum206237423
Variance29566873.23
MonotonicityNot monotonic
2023-02-24T14:44:04.588072image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 862
 
1.6%
2700 15
 
< 0.1%
2914 13
 
< 0.1%
2500 13
 
< 0.1%
2233 13
 
< 0.1%
4000 13
 
< 0.1%
4400 13
 
< 0.1%
1849 12
 
< 0.1%
3412 12
 
< 0.1%
2200 12
 
< 0.1%
Other values (13369) 34453
62.9%
(Missing) 19382
35.4%
ValueCountFrequency (%)
0 862
1.6%
1 4
 
< 0.1%
2 6
 
< 0.1%
3 5
 
< 0.1%
4 6
 
< 0.1%
ValueCountFrequency (%)
180000 1
< 0.1%
83047 1
< 0.1%
74447 1
< 0.1%
72000 1
< 0.1%
61867 1
< 0.1%

all_util
Real number (ℝ)

Distinct143
Distinct (%)0.4%
Missing19387
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean56.55244736
Minimum0
Maximum167
Zeros73
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:04.756808image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q142
median57
Q371
95-th percentile89
Maximum167
Range167
Interquartile range (IQR)29

Descriptive statistics

Standard deviation20.96238999
Coefficient of variation (CV)0.370671668
Kurtosis-0.09959245753
Mean56.55244736
Median Absolute Deviation (MAD)14
Skewness-0.1094494943
Sum2003427
Variance439.421794
MonotonicityNot monotonic
2023-02-24T14:44:04.898127image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58 720
 
1.3%
56 714
 
1.3%
61 673
 
1.2%
67 666
 
1.2%
60 664
 
1.2%
65 664
 
1.2%
57 662
 
1.2%
59 661
 
1.2%
62 659
 
1.2%
64 646
 
1.2%
Other values (133) 28697
52.4%
(Missing) 19387
35.4%
ValueCountFrequency (%)
0 73
0.1%
1 45
0.1%
2 38
0.1%
3 41
0.1%
4 47
0.1%
ValueCountFrequency (%)
167 1
< 0.1%
152 1
< 0.1%
150 1
< 0.1%
149 1
< 0.1%
144 1
< 0.1%

total_rev_hi_lim
Real number (ℝ)

Distinct3246
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35093.61064
Minimum0
Maximum750200
Zeros28
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:05.247334image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6000
Q114700
median25700
Q344000
95-th percentile92200
Maximum750200
Range750200
Interquartile range (IQR)29300

Descriptive statistics

Standard deviation35034.26461
Coefficient of variation (CV)0.9983089221
Kurtosis41.86744829
Mean35093.61064
Median Absolute Deviation (MAD)13100
Skewness4.53917381
Sum1923586080
Variance1227399697
MonotonicityNot monotonic
2023-02-24T14:44:05.404975image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11000 195
 
0.4%
15000 182
 
0.3%
12500 181
 
0.3%
16000 178
 
0.3%
10000 176
 
0.3%
16500 174
 
0.3%
13000 173
 
0.3%
8000 170
 
0.3%
19500 170
 
0.3%
18000 168
 
0.3%
Other values (3236) 53046
96.8%
ValueCountFrequency (%)
0 28
0.1%
200 3
 
< 0.1%
300 8
 
< 0.1%
400 1
 
< 0.1%
500 17
< 0.1%
ValueCountFrequency (%)
750200 1
< 0.1%
678300 1
< 0.1%
663500 1
< 0.1%
644900 1
< 0.1%
642700 1
< 0.1%

inq_fi
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)0.1%
Missing19382
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean1.005644774
Minimum0
Maximum21
Zeros17655
Zeros (%)32.2%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:05.554660image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum21
Range21
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.463111866
Coefficient of variation (CV)1.454899288
Kurtosis12.11106437
Mean1.005644774
Median Absolute Deviation (MAD)1
Skewness2.594602884
Sum35631
Variance2.140696332
MonotonicityNot monotonic
2023-02-24T14:44:05.672587image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 17655
32.2%
1 9000
16.4%
2 4435
 
8.1%
3 2176
 
4.0%
4 1033
 
1.9%
5 539
 
1.0%
6 261
 
0.5%
7 134
 
0.2%
8 84
 
0.2%
9 53
 
0.1%
Other values (10) 61
 
0.1%
(Missing) 19382
35.4%
ValueCountFrequency (%)
0 17655
32.2%
1 9000
16.4%
2 4435
 
8.1%
3 2176
 
4.0%
4 1033
 
1.9%
ValueCountFrequency (%)
21 1
 
< 0.1%
20 2
< 0.1%
17 1
 
< 0.1%
16 4
< 0.1%
15 2
< 0.1%

total_cu_tl
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)0.1%
Missing19382
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean1.483757162
Minimum0
Maximum40
Zeros19071
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:05.809387image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum40
Range40
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.656272444
Coefficient of variation (CV)1.79023395
Kurtosis17.15641028
Mean1.483757162
Median Absolute Deviation (MAD)0
Skewness3.309314632
Sum52571
Variance7.055783298
MonotonicityNot monotonic
2023-02-24T14:44:05.945536image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 19071
34.8%
1 6022
 
11.0%
2 3245
 
5.9%
3 2155
 
3.9%
4 1361
 
2.5%
5 992
 
1.8%
6 680
 
1.2%
7 496
 
0.9%
8 347
 
0.6%
9 284
 
0.5%
Other values (25) 778
 
1.4%
(Missing) 19382
35.4%
ValueCountFrequency (%)
0 19071
34.8%
1 6022
 
11.0%
2 3245
 
5.9%
3 2155
 
3.9%
4 1361
 
2.5%
ValueCountFrequency (%)
40 1
< 0.1%
35 2
< 0.1%
34 1
< 0.1%
32 1
< 0.1%
31 2
< 0.1%

inq_last_12m
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)0.1%
Missing19382
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean2.007055968
Minimum0
Maximum35
Zeros10254
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:06.097640image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum35
Range35
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.331576105
Coefficient of variation (CV)1.16168963
Kurtosis10.43031496
Mean2.007055968
Median Absolute Deviation (MAD)1
Skewness2.334392986
Sum71112
Variance5.436247135
MonotonicityNot monotonic
2023-02-24T14:44:06.250469image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 10254
18.7%
1 8618
15.7%
2 6047
 
11.0%
3 3836
 
7.0%
4 2501
 
4.6%
5 1519
 
2.8%
6 908
 
1.7%
7 593
 
1.1%
8 386
 
0.7%
9 252
 
0.5%
Other values (21) 517
 
0.9%
(Missing) 19382
35.4%
ValueCountFrequency (%)
0 10254
18.7%
1 8618
15.7%
2 6047
11.0%
3 3836
 
7.0%
4 2501
 
4.6%
ValueCountFrequency (%)
35 1
< 0.1%
32 1
< 0.1%
31 1
< 0.1%
27 1
< 0.1%
26 1
< 0.1%

acc_open_past_24mths
Real number (ℝ)

Distinct34
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.488351304
Minimum0
Maximum40
Zeros2414
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:06.420741image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q36
95-th percentile10
Maximum40
Range40
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.140782593
Coefficient of variation (CV)0.6997630934
Kurtosis3.905866551
Mean4.488351304
Median Absolute Deviation (MAD)2
Skewness1.383416527
Sum246020
Variance9.864515294
MonotonicityNot monotonic
2023-02-24T14:44:06.538834image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
3 8177
14.9%
2 7728
14.1%
4 7630
13.9%
5 6473
11.8%
1 5685
10.4%
6 4961
9.1%
7 3621
6.6%
8 2659
 
4.9%
0 2414
 
4.4%
9 1766
 
3.2%
Other values (24) 3699
6.7%
ValueCountFrequency (%)
0 2414
 
4.4%
1 5685
10.4%
2 7728
14.1%
3 8177
14.9%
4 7630
13.9%
ValueCountFrequency (%)
40 1
< 0.1%
35 1
< 0.1%
34 1
< 0.1%
30 2
< 0.1%
29 1
< 0.1%

avg_cur_bal
Real number (ℝ)

Distinct26013
Distinct (%)47.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean13647.84974
Minimum0
Maximum447433
Zeros18
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:06.671761image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1053
Q13053
median7439
Q318950.5
95-th percentile44177
Maximum447433
Range447433
Interquartile range (IQR)15897.5

Descriptive statistics

Standard deviation16607.6169
Coefficient of variation (CV)1.216866922
Kurtosis37.37563927
Mean13647.84974
Median Absolute Deviation (MAD)5472
Skewness3.836108442
Sum748052292
Variance275812939.1
MonotonicityNot monotonic
2023-02-24T14:44:06.818711image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18
 
< 0.1%
2042 16
 
< 0.1%
2668 15
 
< 0.1%
2012 15
 
< 0.1%
2645 13
 
< 0.1%
3237 13
 
< 0.1%
1792 12
 
< 0.1%
1805 12
 
< 0.1%
2779 12
 
< 0.1%
2816 12
 
< 0.1%
Other values (26003) 54673
99.7%
ValueCountFrequency (%)
0 18
< 0.1%
1 4
 
< 0.1%
2 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
447433 1
< 0.1%
391669 1
< 0.1%
341236 1
< 0.1%
316717 1
< 0.1%
307805 1
< 0.1%

bc_open_to_buy
Real number (ℝ)

MISSING  ZEROS 

Distinct23634
Distinct (%)43.6%
Missing562
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean11773.1571
Minimum0
Maximum507259
Zeros691
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:07.014420image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile176
Q11790.5
median5644
Q314677.5
95-th percentile43655.5
Maximum507259
Range507259
Interquartile range (IQR)12887

Descriptive statistics

Standard deviation17262.59133
Coefficient of variation (CV)1.466266965
Kurtosis34.48058303
Mean11773.1571
Median Absolute Deviation (MAD)4710
Skewness4.024244098
Sum638705546
Variance297997059.5
MonotonicityNot monotonic
2023-02-24T14:44:07.186035image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 691
 
1.3%
2000 60
 
0.1%
500 46
 
0.1%
1000 46
 
0.1%
2500 33
 
0.1%
300 33
 
0.1%
3000 32
 
0.1%
4000 32
 
0.1%
5000 31
 
0.1%
1500 30
 
0.1%
Other values (23624) 53217
97.1%
(Missing) 562
 
1.0%
ValueCountFrequency (%)
0 691
1.3%
1 4
 
< 0.1%
2 7
 
< 0.1%
3 8
 
< 0.1%
4 9
 
< 0.1%
ValueCountFrequency (%)
507259 1
< 0.1%
283749 1
< 0.1%
273284 1
< 0.1%
252982 1
< 0.1%
244887 1
< 0.1%

bc_util
Real number (ℝ)

MISSING  ZEROS 

Distinct1111
Distinct (%)2.0%
Missing586
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean57.25726483
Minimum0
Maximum182.5
Zeros676
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:07.317425image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.6
Q134.5
median59.5
Q382.5
95-th percentile97.6
Maximum182.5
Range182.5
Interquartile range (IQR)48

Descriptive statistics

Standard deviation28.6131363
Coefficient of variation (CV)0.4997293598
Kurtosis-1.033945377
Mean57.25726483
Median Absolute Deviation (MAD)23.9
Skewness-0.2459204333
Sum3104889.7
Variance818.7115687
MonotonicityNot monotonic
2023-02-24T14:44:07.494566image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 676
 
1.2%
98 161
 
0.3%
99 129
 
0.2%
96 129
 
0.2%
95 128
 
0.2%
97 122
 
0.2%
86 111
 
0.2%
90 108
 
0.2%
85 104
 
0.2%
97.9 103
 
0.2%
Other values (1101) 52456
95.7%
(Missing) 586
 
1.1%
ValueCountFrequency (%)
0 676
1.2%
0.1 41
 
0.1%
0.2 54
 
0.1%
0.3 45
 
0.1%
0.4 31
 
0.1%
ValueCountFrequency (%)
182.5 1
< 0.1%
165.3 1
< 0.1%
152.5 1
< 0.1%
140.9 1
< 0.1%
132.5 1
< 0.1%

chargeoff_within_12_mths
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008975972853
Minimum0
Maximum5
Zeros54367
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:07.627601image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1058032785
Coefficient of variation (CV)11.78738843
Kurtosis336.8567173
Mean0.008975972853
Median Absolute Deviation (MAD)0
Skewness15.27243571
Sum492
Variance0.01119433375
MonotonicityNot monotonic
2023-02-24T14:44:07.725605image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 54367
99.2%
1 412
 
0.8%
2 26
 
< 0.1%
3 5
 
< 0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 54367
99.2%
1 412
 
0.8%
2 26
 
< 0.1%
3 5
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 2
 
< 0.1%
3 5
 
< 0.1%
2 26
 
< 0.1%
1 412
0.8%

delinq_amnt
Real number (ℝ)

SKEWED  ZEROS 

Distinct143
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.70061847
Minimum0
Maximum65618
Zeros54647
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:07.881440image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum65618
Range65618
Interquartile range (IQR)0

Descriptive statistics

Standard deviation776.7990466
Coefficient of variation (CV)56.69810078
Kurtosis5655.157878
Mean13.70061847
Median Absolute Deviation (MAD)0
Skewness73.06665215
Sum750972
Variance603416.7587
MonotonicityNot monotonic
2023-02-24T14:44:08.010123image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54647
99.7%
30 4
 
< 0.1%
65000 4
 
< 0.1%
25 4
 
< 0.1%
56 3
 
< 0.1%
32 3
 
< 0.1%
408 2
 
< 0.1%
57 2
 
< 0.1%
373 2
 
< 0.1%
62 2
 
< 0.1%
Other values (133) 140
 
0.3%
ValueCountFrequency (%)
0 54647
99.7%
1 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
65618 1
 
< 0.1%
65000 4
< 0.1%
56708 1
 
< 0.1%
46994 1
 
< 0.1%
46557 1
 
< 0.1%

mo_sin_old_il_acct
Real number (ℝ)

Distinct403
Distinct (%)0.8%
Missing1712
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean125.7371424
Minimum1
Maximum558
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:08.145976image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile31
Q195
median130
Q3154
95-th percentile214
Maximum558
Range557
Interquartile range (IQR)59

Descriptive statistics

Standard deviation53.65277798
Coefficient of variation (CV)0.4267058797
Kurtosis1.684586902
Mean125.7371424
Median Absolute Deviation (MAD)28
Skewness0.3503031815
Sum6676768
Variance2878.620584
MonotonicityNot monotonic
2023-02-24T14:44:08.314038image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121 652
 
1.2%
139 648
 
1.2%
127 641
 
1.2%
125 639
 
1.2%
122 636
 
1.2%
123 635
 
1.2%
133 632
 
1.2%
126 626
 
1.1%
131 621
 
1.1%
130 600
 
1.1%
Other values (393) 46771
85.3%
(Missing) 1712
 
3.1%
ValueCountFrequency (%)
1 25
< 0.1%
2 18
 
< 0.1%
3 46
0.1%
4 27
< 0.1%
5 48
0.1%
ValueCountFrequency (%)
558 1
< 0.1%
527 1
< 0.1%
518 1
< 0.1%
500 1
< 0.1%
488 1
< 0.1%

mo_sin_old_rev_tl_op
Real number (ℝ)

Distinct616
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean181.4154671
Minimum6
Maximum680
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:08.502095image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile49
Q1116
median164
Q3232
95-th percentile368
Maximum680
Range674
Interquartile range (IQR)116

Descriptive statistics

Standard deviation96.91894199
Coefficient of variation (CV)0.53423748
Kurtosis1.17515904
Mean181.4154671
Median Absolute Deviation (MAD)56
Skewness0.9699940996
Sum9943926
Variance9393.281317
MonotonicityNot monotonic
2023-02-24T14:44:08.616637image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140 335
 
0.6%
127 320
 
0.6%
134 317
 
0.6%
139 317
 
0.6%
132 310
 
0.6%
136 308
 
0.6%
144 305
 
0.6%
133 303
 
0.6%
128 302
 
0.6%
157 300
 
0.5%
Other values (606) 51696
94.3%
ValueCountFrequency (%)
6 2
 
< 0.1%
7 3
< 0.1%
9 4
< 0.1%
10 4
< 0.1%
11 7
< 0.1%
ValueCountFrequency (%)
680 1
< 0.1%
669 1
< 0.1%
666 2
< 0.1%
658 1
< 0.1%
650 1
< 0.1%

mo_sin_rcnt_rev_tl_op
Real number (ℝ)

Distinct188
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.03694379
Minimum0
Maximum323
Zeros832
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:08.766107image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q317
95-th percentile46
Maximum323
Range323
Interquartile range (IQR)13

Descriptive statistics

Standard deviation17.49993181
Coefficient of variation (CV)1.246705271
Kurtosis22.025863
Mean14.03694379
Median Absolute Deviation (MAD)5
Skewness3.600884951
Sum769407
Variance306.2476135
MonotonicityNot monotonic
2023-02-24T14:44:08.878002image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 4219
 
7.7%
3 4046
 
7.4%
4 3664
 
6.7%
1 3426
 
6.3%
5 3422
 
6.2%
6 2910
 
5.3%
7 2651
 
4.8%
8 2420
 
4.4%
9 2094
 
3.8%
10 1900
 
3.5%
Other values (178) 24061
43.9%
ValueCountFrequency (%)
0 832
 
1.5%
1 3426
6.3%
2 4219
7.7%
3 4046
7.4%
4 3664
6.7%
ValueCountFrequency (%)
323 1
< 0.1%
315 1
< 0.1%
280 1
< 0.1%
265 1
< 0.1%
262 1
< 0.1%

mo_sin_rcnt_tl
Real number (ℝ)

Distinct123
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.279003156
Minimum0
Maximum233
Zeros853
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:09.041723image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q311
95-th percentile23
Maximum233
Range233
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.969069797
Coefficient of variation (CV)1.083351417
Kurtosis37.16935058
Mean8.279003156
Median Absolute Deviation (MAD)3
Skewness4.221855882
Sum453797
Variance80.44421303
MonotonicityNot monotonic
2023-02-24T14:44:09.171644image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 5851
 
10.7%
3 5717
 
10.4%
4 4990
 
9.1%
1 4525
 
8.3%
5 4490
 
8.2%
6 3778
 
6.9%
7 3334
 
6.1%
8 2915
 
5.3%
9 2397
 
4.4%
10 2020
 
3.7%
Other values (113) 14796
27.0%
ValueCountFrequency (%)
0 853
 
1.6%
1 4525
8.3%
2 5851
10.7%
3 5717
10.4%
4 4990
9.1%
ValueCountFrequency (%)
233 1
< 0.1%
183 1
< 0.1%
164 1
< 0.1%
153 1
< 0.1%
143 1
< 0.1%

mort_acc
Real number (ℝ)

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.564464634
Minimum0
Maximum25
Zeros22934
Zeros (%)41.8%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:09.287007image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum25
Range25
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.901872199
Coefficient of variation (CV)1.215669666
Kurtosis4.372241225
Mean1.564464634
Median Absolute Deviation (MAD)1
Skewness1.627768948
Sum85753
Variance3.617117861
MonotonicityNot monotonic
2023-02-24T14:44:09.405366image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 22934
41.8%
1 9658
17.6%
2 8126
 
14.8%
3 5855
 
10.7%
4 3786
 
6.9%
5 2138
 
3.9%
6 1133
 
2.1%
7 569
 
1.0%
8 305
 
0.6%
9 158
 
0.3%
Other values (12) 151
 
0.3%
ValueCountFrequency (%)
0 22934
41.8%
1 9658
17.6%
2 8126
 
14.8%
3 5855
 
10.7%
4 3786
 
6.9%
ValueCountFrequency (%)
25 1
 
< 0.1%
22 2
< 0.1%
19 3
< 0.1%
18 2
< 0.1%
17 3
< 0.1%

mths_since_recent_bc
Real number (ℝ)

Distinct324
Distinct (%)0.6%
Missing533
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean24.8513633
Minimum0
Maximum534
Zeros340
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:09.540734image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median14
Q330
95-th percentile89
Maximum534
Range534
Interquartile range (IQR)24

Descriptive statistics

Standard deviation32.4431506
Coefficient of variation (CV)1.305487759
Kurtosis20.95044278
Mean24.8513633
Median Absolute Deviation (MAD)9
Skewness3.561022098
Sum1348932
Variance1052.558021
MonotonicityNot monotonic
2023-02-24T14:44:09.717098image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 2620
 
4.8%
2 2611
 
4.8%
4 2520
 
4.6%
5 2437
 
4.4%
6 2112
 
3.9%
7 2087
 
3.8%
8 1922
 
3.5%
9 1770
 
3.2%
1 1680
 
3.1%
10 1673
 
3.1%
Other values (314) 32848
59.9%
ValueCountFrequency (%)
0 340
 
0.6%
1 1680
3.1%
2 2611
4.8%
3 2620
4.8%
4 2520
4.6%
ValueCountFrequency (%)
534 1
< 0.1%
475 1
< 0.1%
474 1
< 0.1%
466 1
< 0.1%
438 1
< 0.1%

mths_since_recent_bc_dlq
Real number (ℝ)

Distinct124
Distinct (%)1.0%
Missing41845
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean39.39851943
Minimum0
Maximum195
Zeros22
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:09.882387image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q120
median37
Q358
95-th percentile77
Maximum195
Range195
Interquartile range (IQR)38

Descriptive statistics

Standard deviation22.64568859
Coefficient of variation (CV)0.5747852689
Kurtosis-0.6200079563
Mean39.39851943
Median Absolute Deviation (MAD)18
Skewness0.3132430411
Sum510920
Variance512.8272115
MonotonicityNot monotonic
2023-02-24T14:44:10.045357image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 214
 
0.4%
18 214
 
0.4%
27 213
 
0.4%
45 213
 
0.4%
46 205
 
0.4%
32 204
 
0.4%
48 203
 
0.4%
37 203
 
0.4%
19 201
 
0.4%
39 199
 
0.4%
Other values (114) 10899
 
19.9%
(Missing) 41845
76.3%
ValueCountFrequency (%)
0 22
 
< 0.1%
1 62
0.1%
2 67
0.1%
3 115
0.2%
4 122
0.2%
ValueCountFrequency (%)
195 1
< 0.1%
134 1
< 0.1%
128 1
< 0.1%
125 1
< 0.1%
121 1
< 0.1%

mths_since_recent_inq
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)0.1%
Missing6160
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean7.085770662
Minimum0
Maximum24
Zeros4045
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:10.211318image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q311
95-th percentile19
Maximum24
Range24
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.975691872
Coefficient of variation (CV)0.8433369011
Kurtosis-0.06361768595
Mean7.085770662
Median Absolute Deviation (MAD)4
Skewness0.8778960529
Sum344744
Variance35.70889335
MonotonicityNot monotonic
2023-02-24T14:44:10.366227image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 5262
 
9.6%
2 4246
 
7.7%
0 4045
 
7.4%
3 3809
 
6.9%
4 3565
 
6.5%
5 3179
 
5.8%
6 2869
 
5.2%
7 2700
 
4.9%
8 2451
 
4.5%
9 2147
 
3.9%
Other values (15) 14380
26.2%
(Missing) 6160
11.2%
ValueCountFrequency (%)
0 4045
7.4%
1 5262
9.6%
2 4246
7.7%
3 3809
6.9%
4 3565
6.5%
ValueCountFrequency (%)
24 216
 
0.4%
23 460
0.8%
22 542
1.0%
21 552
1.0%
20 630
1.1%
Distinct127
Distinct (%)0.7%
Missing36579
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean35.85587364
Minimum0
Maximum148
Zeros37
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:10.982468image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q117
median33
Q351
95-th percentile75
Maximum148
Range148
Interquartile range (IQR)34

Descriptive statistics

Standard deviation22.27323338
Coefficient of variation (CV)0.6211878589
Kurtosis-0.5721777923
Mean35.85587364
Median Absolute Deviation (MAD)17
Skewness0.4701314437
Sum653796
Variance496.0969251
MonotonicityNot monotonic
2023-02-24T14:44:11.236229image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 331
 
0.6%
11 327
 
0.6%
27 324
 
0.6%
14 324
 
0.6%
18 323
 
0.6%
20 321
 
0.6%
16 315
 
0.6%
13 311
 
0.6%
7 309
 
0.6%
19 307
 
0.6%
Other values (117) 15042
27.4%
(Missing) 36579
66.7%
ValueCountFrequency (%)
0 37
 
0.1%
1 114
0.2%
2 125
0.2%
3 192
0.4%
4 234
0.4%
ValueCountFrequency (%)
148 1
< 0.1%
146 1
< 0.1%
135 1
< 0.1%
134 1
< 0.1%
128 1
< 0.1%

num_accts_ever_120_pd
Real number (ℝ)

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4957583055
Minimum0
Maximum30
Zeros42385
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:11.448700image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.324455635
Coefficient of variation (CV)2.671575283
Kurtosis38.14694184
Mean0.4957583055
Median Absolute Deviation (MAD)0
Skewness4.918572409
Sum27174
Variance1.75418273
MonotonicityNot monotonic
2023-02-24T14:44:11.703799image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 42385
77.3%
1 6610
 
12.1%
2 2605
 
4.8%
3 1260
 
2.3%
4 687
 
1.3%
5 453
 
0.8%
6 276
 
0.5%
7 168
 
0.3%
8 131
 
0.2%
9 85
 
0.2%
Other values (14) 153
 
0.3%
ValueCountFrequency (%)
0 42385
77.3%
1 6610
 
12.1%
2 2605
 
4.8%
3 1260
 
2.3%
4 687
 
1.3%
ValueCountFrequency (%)
30 1
< 0.1%
24 1
< 0.1%
22 2
< 0.1%
21 2
< 0.1%
20 1
< 0.1%

num_actv_bc_tl
Real number (ℝ)

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.662342875
Minimum0
Maximum30
Zeros1179
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:11.895243image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile8
Maximum30
Range30
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.314790365
Coefficient of variation (CV)0.6320517886
Kurtosis4.275591265
Mean3.662342875
Median Absolute Deviation (MAD)1
Skewness1.468518796
Sum200744
Variance5.358254432
MonotonicityNot monotonic
2023-02-24T14:44:12.140213image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3 11579
21.1%
2 11232
20.5%
4 8873
16.2%
1 6496
11.9%
5 5941
10.8%
6 3762
 
6.9%
7 2303
 
4.2%
8 1349
 
2.5%
0 1179
 
2.2%
9 803
 
1.5%
Other values (16) 1296
 
2.4%
ValueCountFrequency (%)
0 1179
 
2.2%
1 6496
11.9%
2 11232
20.5%
3 11579
21.1%
4 8873
16.2%
ValueCountFrequency (%)
30 1
 
< 0.1%
29 1
 
< 0.1%
24 1
 
< 0.1%
23 2
 
< 0.1%
22 5
< 0.1%

num_actv_rev_tl
Real number (ℝ)

Distinct37
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.608359331
Minimum0
Maximum47
Zeros260
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:12.380862image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q37
95-th percentile12
Maximum47
Range47
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.380683917
Coefficient of variation (CV)0.6027937438
Kurtosis4.978903391
Mean5.608359331
Median Absolute Deviation (MAD)2
Skewness1.596589786
Sum307411
Variance11.42902375
MonotonicityNot monotonic
2023-02-24T14:44:12.587106image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
4 8346
15.2%
3 7883
14.4%
5 7570
13.8%
6 6188
11.3%
2 5439
9.9%
7 4832
8.8%
8 3463
6.3%
9 2538
 
4.6%
1 2099
 
3.8%
10 1750
 
3.2%
Other values (27) 4705
8.6%
ValueCountFrequency (%)
0 260
 
0.5%
1 2099
 
3.8%
2 5439
9.9%
3 7883
14.4%
4 8346
15.2%
ValueCountFrequency (%)
47 1
 
< 0.1%
42 1
 
< 0.1%
34 1
 
< 0.1%
33 4
< 0.1%
32 2
< 0.1%

num_bc_sats
Real number (ℝ)

Distinct39
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.770382938
Minimum0
Maximum47
Zeros542
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:12.749299image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q36
95-th percentile10
Maximum47
Range47
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.03518747
Coefficient of variation (CV)0.6362565667
Kurtosis6.769896531
Mean4.770382938
Median Absolute Deviation (MAD)2
Skewness1.752927506
Sum261479
Variance9.21236298
MonotonicityNot monotonic
2023-02-24T14:44:12.902918image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
3 9482
17.3%
4 9003
16.4%
2 7651
14.0%
5 7157
13.1%
6 5265
9.6%
7 3761
 
6.9%
1 3739
 
6.8%
8 2628
 
4.8%
9 1726
 
3.1%
10 1201
 
2.2%
Other values (29) 3200
 
5.8%
ValueCountFrequency (%)
0 542
 
1.0%
1 3739
 
6.8%
2 7651
14.0%
3 9482
17.3%
4 9003
16.4%
ValueCountFrequency (%)
47 1
< 0.1%
42 1
< 0.1%
39 1
< 0.1%
38 1
< 0.1%
35 2
< 0.1%

num_bc_tl
Real number (ℝ)

Distinct51
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.706949081
Minimum0
Maximum77
Zeros161
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:13.048114image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q310
95-th percentile17
Maximum77
Range77
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.701631296
Coefficient of variation (CV)0.6100509094
Kurtosis5.156055938
Mean7.706949081
Median Absolute Deviation (MAD)3
Skewness1.500929023
Sum422441
Variance22.10533684
MonotonicityNot monotonic
2023-02-24T14:44:13.278677image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 5912
10.8%
6 5592
10.2%
4 5533
10.1%
7 5060
9.2%
3 4630
8.4%
8 4504
8.2%
9 3765
 
6.9%
10 3184
 
5.8%
2 3021
 
5.5%
11 2503
 
4.6%
Other values (41) 11109
20.3%
ValueCountFrequency (%)
0 161
 
0.3%
1 1196
 
2.2%
2 3021
5.5%
3 4630
8.4%
4 5533
10.1%
ValueCountFrequency (%)
77 1
< 0.1%
70 1
< 0.1%
56 1
< 0.1%
52 1
< 0.1%
51 2
< 0.1%

num_il_tl
Real number (ℝ)

Distinct74
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.385492493
Minimum0
Maximum104
Zeros1713
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:13.473824image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q311
95-th percentile23
Maximum104
Range104
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.358639528
Coefficient of variation (CV)0.8775441078
Kurtosis7.50055809
Mean8.385492493
Median Absolute Deviation (MAD)3
Skewness2.098475496
Sum459634
Variance54.14957571
MonotonicityNot monotonic
2023-02-24T14:44:13.646511image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 4849
 
8.8%
4 4734
 
8.6%
5 4537
 
8.3%
2 4431
 
8.1%
6 4133
 
7.5%
7 3688
 
6.7%
1 3336
 
6.1%
8 3212
 
5.9%
9 2755
 
5.0%
10 2482
 
4.5%
Other values (64) 16656
30.4%
ValueCountFrequency (%)
0 1713
 
3.1%
1 3336
6.1%
2 4431
8.1%
3 4849
8.8%
4 4734
8.6%
ValueCountFrequency (%)
104 1
< 0.1%
86 2
< 0.1%
79 2
< 0.1%
78 2
< 0.1%
72 1
< 0.1%

num_op_rev_tl
Real number (ℝ)

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.256088884
Minimum0
Maximum77
Zeros21
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:13.814535image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median7
Q310
95-th percentile17
Maximum77
Range77
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.727327969
Coefficient of variation (CV)0.572586855
Kurtosis5.545797887
Mean8.256088884
Median Absolute Deviation (MAD)3
Skewness1.598965855
Sum452541
Variance22.34762972
MonotonicityNot monotonic
2023-02-24T14:44:13.962268image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 5873
10.7%
6 5871
10.7%
7 5540
10.1%
4 5081
9.3%
8 4929
9.0%
9 4284
 
7.8%
3 3632
 
6.6%
10 3549
 
6.5%
11 2825
 
5.2%
12 2262
 
4.1%
Other values (44) 10967
20.0%
ValueCountFrequency (%)
0 21
 
< 0.1%
1 465
 
0.8%
2 1974
 
3.6%
3 3632
6.6%
4 5081
9.3%
ValueCountFrequency (%)
77 1
 
< 0.1%
60 1
 
< 0.1%
58 1
 
< 0.1%
55 3
< 0.1%
53 1
 
< 0.1%

num_rev_accts
Real number (ℝ)

Distinct78
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.00379472
Minimum2
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:14.158903image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q18
median12
Q318
95-th percentile29
Maximum103
Range101
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.099977353
Coefficient of variation (CV)0.5784130313
Kurtosis3.668878528
Mean14.00379472
Median Absolute Deviation (MAD)5
Skewness1.396997417
Sum767590
Variance65.60963312
MonotonicityNot monotonic
2023-02-24T14:44:14.379913image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 3300
 
6.0%
8 3289
 
6.0%
9 3263
 
6.0%
11 3251
 
5.9%
12 3038
 
5.5%
7 3026
 
5.5%
13 2857
 
5.2%
6 2736
 
5.0%
14 2718
 
5.0%
15 2441
 
4.5%
Other values (68) 24894
45.4%
ValueCountFrequency (%)
2 539
 
1.0%
3 1100
2.0%
4 1809
3.3%
5 2395
4.4%
6 2736
5.0%
ValueCountFrequency (%)
103 1
< 0.1%
92 1
< 0.1%
91 1
< 0.1%
88 1
< 0.1%
80 1
< 0.1%

num_rev_tl_bal_gt_0
Real number (ℝ)

Distinct35
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.562804444
Minimum0
Maximum42
Zeros257
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:14.585660image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q37
95-th percentile12
Maximum42
Range42
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.303134204
Coefficient of variation (CV)0.5937893804
Kurtosis4.310368379
Mean5.562804444
Median Absolute Deviation (MAD)2
Skewness1.514135945
Sum304914
Variance10.91069557
MonotonicityNot monotonic
2023-02-24T14:44:14.781136image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
4 8414
15.4%
3 7918
14.4%
5 7691
14.0%
6 6243
11.4%
2 5440
9.9%
7 4795
8.7%
8 3432
6.3%
9 2547
 
4.6%
1 2094
 
3.8%
10 1720
 
3.1%
Other values (25) 4519
8.2%
ValueCountFrequency (%)
0 257
 
0.5%
1 2094
 
3.8%
2 5440
9.9%
3 7918
14.4%
4 8414
15.4%
ValueCountFrequency (%)
42 1
 
< 0.1%
34 1
 
< 0.1%
32 3
< 0.1%
31 4
< 0.1%
30 4
< 0.1%

num_sats
Real number (ℝ)

Distinct59
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.64402605
Minimum0
Maximum81
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:14.943755image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median11
Q314
95-th percentile22
Maximum81
Range81
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.687491182
Coefficient of variation (CV)0.4884471364
Kurtosis3.731214128
Mean11.64402605
Median Absolute Deviation (MAD)3
Skewness1.35210079
Sum638244
Variance32.34755594
MonotonicityNot monotonic
2023-02-24T14:44:15.092419image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 4707
 
8.6%
8 4583
 
8.4%
10 4500
 
8.2%
11 4331
 
7.9%
7 4195
 
7.7%
12 3828
 
7.0%
6 3573
 
6.5%
13 3373
 
6.2%
14 2835
 
5.2%
5 2609
 
4.8%
Other values (49) 16279
29.7%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 35
 
0.1%
2 281
 
0.5%
3 748
1.4%
4 1632
3.0%
ValueCountFrequency (%)
81 1
< 0.1%
67 1
< 0.1%
62 2
< 0.1%
60 2
< 0.1%
58 1
< 0.1%

num_tl_120dpd_2m
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing2007
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean0.0005302427754
Minimum0
Maximum2
Zeros52779
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:15.397531image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02382953746
Coefficient of variation (CV)44.94080554
Kurtosis2459.721602
Mean0.0005302427754
Median Absolute Deviation (MAD)0
Skewness47.51860535
Sum28
Variance0.0005678468555
MonotonicityNot monotonic
2023-02-24T14:44:15.553162image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 52779
96.3%
1 26
 
< 0.1%
2 1
 
< 0.1%
(Missing) 2007
 
3.7%
ValueCountFrequency (%)
0 52779
96.3%
1 26
 
< 0.1%
2 1
 
< 0.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
1 26
 
< 0.1%
0 52779
96.3%

num_tl_30dpd
Real number (ℝ)

SKEWED  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002900771715
Minimum0
Maximum3
Zeros54666
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:15.743364image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05833735553
Coefficient of variation (CV)20.11097779
Kurtosis665.0401366
Mean0.002900771715
Median Absolute Deviation (MAD)0
Skewness23.28436143
Sum159
Variance0.00340324705
MonotonicityNot monotonic
2023-02-24T14:44:15.877332image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 54666
99.7%
1 137
 
0.2%
2 8
 
< 0.1%
3 2
 
< 0.1%
ValueCountFrequency (%)
0 54666
99.7%
1 137
 
0.2%
2 8
 
< 0.1%
3 2
 
< 0.1%
ValueCountFrequency (%)
3 2
 
< 0.1%
2 8
 
< 0.1%
1 137
 
0.2%
0 54666
99.7%

num_tl_90g_dpd_24m
Real number (ℝ)

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0789776148
Minimum0
Maximum20
Zeros51951
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:16.067445image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4734254796
Coefficient of variation (CV)5.994426153
Kurtosis353.7641417
Mean0.0789776148
Median Absolute Deviation (MAD)0
Skewness14.51739014
Sum4329
Variance0.2241316848
MonotonicityNot monotonic
2023-02-24T14:44:16.273836image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 51951
94.8%
1 2181
 
4.0%
2 415
 
0.8%
3 112
 
0.2%
4 50
 
0.1%
5 32
 
0.1%
6 26
 
< 0.1%
8 12
 
< 0.1%
7 9
 
< 0.1%
9 6
 
< 0.1%
Other values (9) 19
 
< 0.1%
ValueCountFrequency (%)
0 51951
94.8%
1 2181
 
4.0%
2 415
 
0.8%
3 112
 
0.2%
4 50
 
0.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
19 1
 
< 0.1%
18 1
 
< 0.1%
16 2
< 0.1%
14 3
< 0.1%

num_tl_op_past_12m
Real number (ℝ)

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.059639137
Minimum0
Maximum20
Zeros10466
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:16.477106image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum20
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.820224384
Coefficient of variation (CV)0.8837588835
Kurtosis3.983399917
Mean2.059639137
Median Absolute Deviation (MAD)1
Skewness1.463724452
Sum112895
Variance3.313216808
MonotonicityNot monotonic
2023-02-24T14:44:16.706180image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 14232
26.0%
2 12084
22.0%
0 10466
19.1%
3 8207
15.0%
4 4838
 
8.8%
5 2434
 
4.4%
6 1201
 
2.2%
7 646
 
1.2%
8 299
 
0.5%
9 166
 
0.3%
Other values (9) 240
 
0.4%
ValueCountFrequency (%)
0 10466
19.1%
1 14232
26.0%
2 12084
22.0%
3 8207
15.0%
4 4838
 
8.8%
ValueCountFrequency (%)
20 1
 
< 0.1%
18 2
 
< 0.1%
16 4
 
< 0.1%
15 7
 
< 0.1%
14 20
< 0.1%

pct_tl_nvr_dlq
Real number (ℝ)

Distinct414
Distinct (%)0.8%
Missing6
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean94.1513511
Minimum12.5
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:16.864918image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum12.5
5-th percentile75
Q191.7
median100
Q3100
95-th percentile100
Maximum100
Range87.5
Interquartile range (IQR)8.3

Descriptive statistics

Standard deviation8.976198255
Coefficient of variation (CV)0.09533796542
Kurtosis6.180369811
Mean94.1513511
Median Absolute Deviation (MAD)0
Skewness-2.211795392
Sum5160153.1
Variance80.57213512
MonotonicityNot monotonic
2023-02-24T14:44:17.001042image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 27823
50.8%
90 690
 
1.3%
95 689
 
1.3%
91.7 604
 
1.1%
87.5 583
 
1.1%
92.9 581
 
1.1%
90.9 573
 
1.0%
92.3 567
 
1.0%
88.9 562
 
1.0%
93.3 531
 
1.0%
Other values (404) 21604
39.4%
ValueCountFrequency (%)
12.5 1
 
< 0.1%
14.3 1
 
< 0.1%
22.2 1
 
< 0.1%
23.1 1
 
< 0.1%
25 3
< 0.1%
ValueCountFrequency (%)
100 27823
50.8%
99 1
 
< 0.1%
98.9 2
 
< 0.1%
98.8 3
 
< 0.1%
98.7 4
 
< 0.1%

percent_bc_gt_75
Real number (ℝ)

MISSING  ZEROS 

Distinct137
Distinct (%)0.3%
Missing571
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean41.57206703
Minimum0
Maximum100
Zeros15374
Zeros (%)28.0%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:17.154491image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median33.3
Q366.7
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)66.7

Descriptive statistics

Standard deviation36.18822173
Coefficient of variation (CV)0.8704936828
Kurtosis-1.235419521
Mean41.57206703
Median Absolute Deviation (MAD)33.3
Skewness0.3432853826
Sum2254952.06
Variance1309.587392
MonotonicityNot monotonic
2023-02-24T14:44:17.305005image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15374
28.0%
100 8988
16.4%
50 5761
 
10.5%
33.3 3648
 
6.7%
66.7 3177
 
5.8%
25 2418
 
4.4%
75 1867
 
3.4%
20 1650
 
3.0%
40 1323
 
2.4%
60 1157
 
2.1%
Other values (127) 8879
16.2%
ValueCountFrequency (%)
0 15374
28.0%
0.33 2
 
< 0.1%
0.5 3
 
< 0.1%
1 8
 
< 0.1%
3.1 1
 
< 0.1%
ValueCountFrequency (%)
100 8988
16.4%
95.2 1
 
< 0.1%
94.1 1
 
< 0.1%
93.7 2
 
< 0.1%
93.3 3
 
< 0.1%

pub_rec_bankruptcies
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1327787204
Minimum0
Maximum7
Zeros47973
Zeros (%)87.5%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:17.416597image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3702433484
Coefficient of variation (CV)2.788423833
Kurtosis16.49324939
Mean0.1327787204
Median Absolute Deviation (MAD)0
Skewness3.273716536
Sum7278
Variance0.1370801371
MonotonicityNot monotonic
2023-02-24T14:44:17.494845image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 47973
87.5%
1 6520
 
11.9%
2 235
 
0.4%
3 61
 
0.1%
4 17
 
< 0.1%
5 6
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 47973
87.5%
1 6520
 
11.9%
2 235
 
0.4%
3 61
 
0.1%
4 17
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
5 6
 
< 0.1%
4 17
 
< 0.1%
3 61
 
0.1%
2 235
0.4%

tax_liens
Real number (ℝ)

SKEWED  ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0496415084
Minimum0
Maximum46
Zeros53183
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:17.607572image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4181953497
Coefficient of variation (CV)8.424307866
Kurtosis3016.471389
Mean0.0496415084
Median Absolute Deviation (MAD)0
Skewness35.84821821
Sum2721
Variance0.1748873505
MonotonicityNot monotonic
2023-02-24T14:44:17.701705image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 53183
97.0%
1 1086
 
2.0%
2 328
 
0.6%
3 102
 
0.2%
4 57
 
0.1%
5 20
 
< 0.1%
7 12
 
< 0.1%
8 8
 
< 0.1%
6 7
 
< 0.1%
9 3
 
< 0.1%
Other values (5) 7
 
< 0.1%
ValueCountFrequency (%)
0 53183
97.0%
1 1086
 
2.0%
2 328
 
0.6%
3 102
 
0.2%
4 57
 
0.1%
ValueCountFrequency (%)
46 1
< 0.1%
25 1
< 0.1%
13 1
< 0.1%
12 2
< 0.1%
10 2
< 0.1%

tot_hi_cred_lim
Real number (ℝ)

Distinct45944
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180305.7346
Minimum0
Maximum4358152
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:17.830539image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19000
Q151273
median115580
Q3260255
95-th percentile514593.8
Maximum4358152
Range4358152
Interquartile range (IQR)208982

Descriptive statistics

Standard deviation183965.8354
Coefficient of variation (CV)1.020299415
Kurtosis23.85517725
Mean180305.7346
Median Absolute Deviation (MAD)79880
Skewness2.958886534
Sum9883098228
Variance3.38434286 × 1010
MonotonicityNot monotonic
2023-02-24T14:44:17.962028image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16000 29
 
0.1%
17800 25
 
< 0.1%
22600 23
 
< 0.1%
29500 23
 
< 0.1%
11400 22
 
< 0.1%
22000 22
 
< 0.1%
19000 22
 
< 0.1%
11000 21
 
< 0.1%
14500 21
 
< 0.1%
18000 21
 
< 0.1%
Other values (45934) 54584
99.6%
ValueCountFrequency (%)
0 2
< 0.1%
200 1
< 0.1%
300 2
< 0.1%
500 1
< 0.1%
800 1
< 0.1%
ValueCountFrequency (%)
4358152 1
< 0.1%
4154010 1
< 0.1%
3443521 1
< 0.1%
2971731 1
< 0.1%
2790790 1
< 0.1%

total_bal_ex_mort
Real number (ℝ)

Distinct42462
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51093.58046
Minimum0
Maximum1009178
Zeros39
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:18.122867image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6527.8
Q120796
median37861
Q364485
95-th percentile139445.4
Maximum1009178
Range1009178
Interquartile range (IQR)43689

Descriptive statistics

Standard deviation49491.14664
Coefficient of variation (CV)0.9686372767
Kurtosis20.92755872
Mean51093.58046
Median Absolute Deviation (MAD)20030
Skewness3.315611698
Sum2800592426
Variance2449373596
MonotonicityNot monotonic
2023-02-24T14:44:18.265356image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39
 
0.1%
22093 7
 
< 0.1%
16453 7
 
< 0.1%
15710 6
 
< 0.1%
6644 6
 
< 0.1%
79125 5
 
< 0.1%
26795 5
 
< 0.1%
21649 5
 
< 0.1%
43411 5
 
< 0.1%
30308 5
 
< 0.1%
Other values (42452) 54723
99.8%
ValueCountFrequency (%)
0 39
0.1%
1 2
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
1009178 1
< 0.1%
767381 1
< 0.1%
741856 1
< 0.1%
740815 1
< 0.1%
711534 1
< 0.1%

total_bc_limit
Real number (ℝ)

Distinct2208
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23615.41227
Minimum0
Maximum513700
Zeros571
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:18.403826image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2400
Q18300
median16500
Q331000
95-th percentile67800
Maximum513700
Range513700
Interquartile range (IQR)22700

Descriptive statistics

Standard deviation23568.40002
Coefficient of variation (CV)0.9980092553
Kurtosis16.320105
Mean23615.41227
Median Absolute Deviation (MAD)9800
Skewness2.842606203
Sum1294431593
Variance555469479.3
MonotonicityNot monotonic
2023-02-24T14:44:18.551322image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 571
 
1.0%
5000 446
 
0.8%
6000 386
 
0.7%
4000 363
 
0.7%
8000 352
 
0.6%
3000 343
 
0.6%
10000 334
 
0.6%
7000 332
 
0.6%
2000 325
 
0.6%
9000 322
 
0.6%
Other values (2198) 51039
93.1%
ValueCountFrequency (%)
0 571
1.0%
200 9
 
< 0.1%
300 59
 
0.1%
400 13
 
< 0.1%
500 171
 
0.3%
ValueCountFrequency (%)
513700 1
< 0.1%
372000 1
< 0.1%
326700 1
< 0.1%
314000 1
< 0.1%
311900 1
< 0.1%
Distinct35565
Distinct (%)64.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43789.48229
Minimum0
Maximum921338
Zeros6533
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:18.747990image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115000
median32714
Q358964
95-th percentile125751.4
Maximum921338
Range921338
Interquartile range (IQR)43964

Descriptive statistics

Standard deviation44849.1664
Coefficient of variation (CV)1.024199512
Kurtosis14.48749782
Mean43789.48229
Median Absolute Deviation (MAD)20714
Skewness2.694603757
Sum2400232893
Variance2011447727
MonotonicityNot monotonic
2023-02-24T14:44:18.874681image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6533
 
11.9%
10000 336
 
0.6%
15000 259
 
0.5%
20000 210
 
0.4%
5000 197
 
0.4%
12000 156
 
0.3%
25000 149
 
0.3%
8000 131
 
0.2%
6000 130
 
0.2%
30000 90
 
0.2%
Other values (35555) 46622
85.1%
ValueCountFrequency (%)
0 6533
11.9%
183 1
 
< 0.1%
200 1
 
< 0.1%
300 1
 
< 0.1%
485 1
 
< 0.1%
ValueCountFrequency (%)
921338 1
< 0.1%
558898 1
< 0.1%
557824 1
< 0.1%
548301 1
< 0.1%
547672 1
< 0.1%

hardship_flag
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
N
54812 
Y
 
1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 54812
> 99.9%
Y 1
 
< 0.1%

Common Values (Plot)

2023-02-24T14:44:18.984240image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
Cash
52731 
DirectPay
 
2082

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCash
2nd rowCash
3rd rowCash
4th rowCash
5th rowCash

Common Values

ValueCountFrequency (%)
Cash 52731
96.2%
DirectPay 2082
 
3.8%

Common Values (Plot)

2023-02-24T14:44:19.097655image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
N
54290 
Y
 
523

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 54290
99.0%
Y 523
 
1.0%

Common Values (Plot)

2023-02-24T14:44:19.231610image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

loan_status_dv
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9279003156
Minimum0
Maximum1
Zeros3952
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size428.4 KiB
2023-02-24T14:44:19.669982image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2586552541
Coefficient of variation (CV)0.2787532774
Kurtosis8.948313905
Mean0.9279003156
Median Absolute Deviation (MAD)0
Skewness-3.308774305
Sum50861
Variance0.06690254045
MonotonicityNot monotonic
2023-02-24T14:44:19.764775image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 50861
92.8%
0 3952
 
7.2%
ValueCountFrequency (%)
0 3952
 
7.2%
1 50861
92.8%
ValueCountFrequency (%)
1 50861
92.8%
0 3952
 
7.2%